Patent Translate Powered by EPO and Google Notice This translation is machine-generated. It cannot be guaranteed that it is intelligible, accurate, complete, reliable or fit for specific purposes. Critical decisions, such as commercially relevant or financial decisions, should not be based on machine-translation output. DESCRIPTION JP2010152151 A correction is performed to reduce resonance characteristics. A first partial acoustic model adaptation unit (1401) generates a plurality of band-specific acoustic models modeled on the basis of resonance characteristics different for each frequency band from frequency characteristics representing acoustic characteristics of the user's ear canal. A partial acoustic model adaptation unit 1403, and a first frequency band division filter 1402 and a second frequency band division filter 1404 for extracting frequency components of the frequency band from the plurality of generated by-band acoustic models are extracted. And a combination unit 1406 that combines the frequency components of the partial acoustic models to generate an acoustic model. [Selected figure] Figure 15 Acoustic processing apparatus, acoustic reproduction apparatus, and acoustic processing method [0001] The present invention relates to an acoustic processing device, an acoustic reproduction device, and an acoustic processing method for generating an acoustic model based on resonance characteristics. [0002] The present invention relates to an acoustic correction apparatus, an acoustic measurement apparatus, an acoustic reproduction apparatus, an acoustic correction method, and an acoustic measurement method for performing processing for reducing a resonance peak of an acoustic signal. 08-05-2019 1 [0003] 2. Description of the Related Art Conventionally, a highly portable sound reproducing apparatus capable of listening to reproduced sound such as music using headphones has been widely spread. In such a sound reproducing apparatus, the user often listens to music etc. at his / her favorite volume. As a result, there is a situation where a relatively loud sound is heard for a long time. Under such circumstances, there is a risk of reducing the hearing ability of the user listening to music or the like. Therefore, various techniques have been proposed to prevent this. [0004] For example, in the technique described in Patent Document 1, a technique of dividing the frequency band to facilitate correction is described. [0005] WO1995/020866パンフレット [0006] However, the prior art of the above-mentioned Patent Document 1 is merely a technique for correcting for reflection noise, and is not a technique for considering even resonance characteristics. [0007] The present invention has been made in view of the above, and provides an acoustic processing device, an acoustic reproduction device, and an acoustic processing method capable of performing processing based on resonance characteristics of an object to be measured. [0008] In order to solve the problems described above and to achieve the object, the acoustic processing 08-05-2019 2 apparatus according to the present invention has a plurality of bands modeled on the basis of different resonance characteristics for each frequency band from frequency characteristics representing the acoustic characteristics of the object to be measured. An acoustic model is generated by combining generation means for generating another acoustic model, filtering means for extracting frequency components of the frequency band from the plurality of bandspecific acoustic models, and frequency components for each of the extracted partial acoustic models. And combining means for generating. [0009] In the sound reproducing apparatus according to the present invention, a plurality of generation means for generating a plurality of band-specific acoustic models modeled on the basis of resonance characteristics different for each frequency band from frequency characteristics representing the acoustic characteristics of the object to be measured; Filtering means for extracting frequency components of the frequency band from the band-specific acoustic models, combining means for combining the extracted frequency components for each of the partial acoustic models to generate an acoustic model; A signal generation unit for generating an acoustic signal to be output, and a correction unit for correcting the acoustic characteristic of the generated acoustic signal using the acoustic model combined by the combination unit. . [0010] The acoustic processing method according to the present invention is the acoustic processing method to be executed by the acoustic processing device, wherein the generation means is based on different resonance characteristics for each frequency band from the frequency characteristics representing the acoustic characteristics of the object to be measured. And a filtering step of extracting frequency components of the frequency band from the plurality of band-by-band acoustic models, and a combination step of extracting the plurality of band-byband acoustic models modeled as And combining the frequency components of the partial acoustic models to generate an acoustic model. [0011] According to the present invention, by combining the acoustic model generated for each frequency band, it is possible to generate an acoustic model suitable for the acoustic characteristics of the object to be measured even if the spacing between the resonance peaks is not an integral multiple. The effect is that correction processing becomes possible. [0012] BEST MODES FOR CARRYING OUT THE INVENTION Preferred embodiments of a sound 08-05-2019 3 processing device, a sound reproduction device, and a sound processing method according to the present invention will be described in detail with reference to the accompanying drawings. [0013] First Embodiment FIG. 1 is a diagram showing an example of a sound reproduction device 100 to which the sound characteristic correction device of the first embodiment is applied. In the example shown in FIG. 1, the sound reproduction device 100 is configured of a sound characteristic correction device 150 and a mobile phone terminal 110. Then, the acoustic characteristic correction device 150 includes the earphone 120 and the housing unit 130. [0014] In the mobile phone terminal 110, an internal (not shown) audio data generation unit generates (reproduces) audio data and outputs the audio data to the acoustic characteristic correction device 150. The acoustic characteristic correction device 150 corrects the resonance characteristic of the input voice data (sound source signal), and then outputs the corrected acoustic signal from the earphone 120 to the non-target measurement object. In the present embodiment, the non-target measurement object is an example of the user's ear canal. Also, the earphone 120 has a built-in microphone. Next, the earphone 120 will be described. 08-05-2019 4 [0015] FIG. 2 is a conceptual view showing the earphone 120 used for the correction of the resonance characteristic and the surrounding environment in the present embodiment. As shown in FIG. 2, an earphone 120 is attached to the entrance of the ear canal. In the vicinity of the sound output unit 201 (sound tube unit) of the earphone 120, the sound input unit 202 of the microphone is disposed. The acoustic output unit 201 of the earphone 120 and the acoustic input unit 202 of the microphone are electrically connected to the housing 130 of the acoustic characteristic correction device 150, respectively. The acoustic signal output from the acoustic output unit 201 is delivered to the eardrum position 250 of the ear canal. [0016] In addition, in FIG. 2, the sound input part 202 of a microphone was expressed as another structure with the sound output part 201 of the earphone 120 so that it was easy to visually recognize. In fact, it is assumed that it is provided inside the earphone 120 and in the vicinity of the sound output unit 201. [0017] FIG. 3 is a block diagram showing the configuration of the acoustic characteristic correction device 150 according to the first embodiment. As shown to this figure, the acoustic characteristic correction apparatus 150 is comprised by the housing ¦ casing part 130 and the earphone 120. As shown in FIG. [0018] 08-05-2019 5 The earphone 120 includes an electric / acoustic converter 303, an acoustic output unit 201, and a microphone 330. The microphone 330 includes an acoustic input unit 202 and an acoustic / electric conversion unit 306. [0019] The electrical / acoustic conversion unit 303 converts a sound source signal, which is an electrical signal input from the housing unit 130, into an acoustic signal. The sound output unit 201 outputs a sound signal. [0020] The acoustic input unit 202 of the microphone 330 inputs and processes an acoustic signal from inside the human ear canal. In the present embodiment, when a sound signal for measurement (hereinafter referred to as a measurement sound signal) is output from the sound output unit 201, a response sound signal corresponding to the measurement sound signal is input-processed. As described above, the sound input unit 202 is provided in the vicinity of the sound output unit 201. [0021] The acoustic / electrical conversion unit 306 converts the input processed acoustic signal (response acoustic signal) into an electrical signal. In this embodiment, the response acoustic signal converted into the electrical signal is used as the response signal. [0022] By the way, if it is possible to cancel the resonance frequency of the tympanic membrane position, it means that the user has made appropriate correction, but it is difficult to arrange the microphone at the tympanic position of the user every time it is used. Therefore, in the present embodiment, the microphone is disposed in the vicinity of the earphone 120. 08-05-2019 6 [0023] In the present embodiment, the resonance characteristic of the ear canal is measured while the earphone 120 is thus worn. FIG. 4 is a conceptual view showing the ear canal when the earphone is not attached. As shown in FIG. 4, the ear canal can be represented as a one-sided closed tube when the earphone is not worn. FIG. 5 is a diagram showing frequency characteristics of the ear canal when the earphone is not attached. As shown in FIG. 5, there are a plurality of resonance peaks as frequency characteristics of the ear canal. [0024] FIG. 6 is a conceptual view showing the ear canal when wearing the earphone. As shown in FIG. 6, at the stage of wearing the earphone, the ear canal can be represented as a both-side closed tube. FIG. 7 is a diagram showing frequency characteristics of the ear canal when the earphone is worn. As shown in FIG. 7, there are a plurality of resonance peaks as frequency characteristics of the ear canal. [0025] Then, comparing the frequency characteristics of the ear canal shown in FIG. 5 with the frequency characteristics of the ear canal shown in FIG. 7, the resonance frequency taken as the resonance peak and the gain of the resonance frequency are between the non-wearing and wearing of the earphone. It can confirm that it is different. Thus, the ear canal changes from a one-sided closed tube to a two-sided closed tube by the attachment of the user's earphone, and a change in the spectral structure can be seen. [0026] In such changes in spectral structure, particularly changes in the resonance frequency may adversely affect hearing. Therefore, in the present embodiment, in the case where the object to be measured is the ear canal, the resonance frequency changed due to the arrival of the earphone is corrected. 08-05-2019 7 [0027] FIG. 8 shows a concept in which the ear canal on which the earphone is mounted is assumed to be a uniform resonance tube blocked by the earphone and a wall (tympanic membrane). In this case, innumerable resonance frequencies occur such as the resonance frequency (first resonance peak) of the fundamental vibration as shown in FIG. 9 and the resonance frequency (second resonance peak) of the double vibration as shown in FIG. [0028] FIG. 11 is a diagram showing frequency characteristics of a uniform resonance tube representing the ear canal. As shown in FIG. 11, the acoustically harmful resonance frequency exists at an integral multiple of the fundamental vibration. It is necessary to make corrections to remove these resonance frequencies. In the case of such frequency characteristics, the resonance can be suppressed by using the inverse characteristic of the uniform resonance tube as shown in FIG. [0029] The filter having the frequency characteristic shown in FIG. 12 is generally called a comb filter. FIG. 13 is a diagram showing the configuration of the comb filter. As shown in FIG. 13, the comb filter can be realized by a combination of n delay elements (z1 to zn) and amplification elements (b1 to bn). [0030] However, the ear canal has a complicated shape including a constriction portion, and the resonance frequency may not appear in integral multiples as in a uniform acoustic tube. As described above, when the ear canal has acoustic characteristics that are not flat on the frequency axis, a model that assumes a uniform acoustic tube can not cope with it, and even if the inverse characteristic of the uniform resonance tube described above is used, the resonance can not be achieved. It is difficult to deter properly. 08-05-2019 8 [0031] FIG. 14 is a diagram showing the frequency characteristics of the ear canal having acoustic characteristics that are not flat on the frequency axis and the inverse characteristics of the uniform resonance tube. In the example shown in FIG. 14, when the frequency of the fundamental vibration is n, the frequency of the double vibration is not 2n, and the frequency of the triple vibration is not 3n. That is, when the inverse characteristic of the uniform resonance tube shown in FIG. 14 is used, the resonance of the first resonance peak can be suppressed, but the resonance of the second and subsequent resonance peaks can not be suppressed. [0032] That is, in the method described above, when the ear canal has acoustic characteristics that are not flat on the frequency axis, it is not possible to suppress the resonance of all the resonance peaks. In order to suppress the resonance, identification of the frequency of the resonance characteristic of the ear canal may be performed, but the calculation process becomes heavy and the cost becomes high. Furthermore, because there is a possibility of picking up factors other than the characteristics of the ear, it is not always possible to identify the exact frequency of the ear canal. [0033] Therefore, in the present embodiment, in order to solve the above-described problems, different acoustic models are constructed for each frequency band. First, referring back to FIG. 3, each configuration will be described. [0034] The housing unit 130 includes a sound source input unit 301, a sound source output mode processing unit 302, a correction setting mode processing unit 307, and a switching unit 308. [0035] The acoustic characteristic correction device 150 according to the present embodiment includes 08-05-2019 9 two types of processing modes. One of these processing modes is a correction setting mode, in which the frequency characteristic of the user's ear canal is measured, and the acoustic model parameter used in the acoustic model adaptive filter 311 is specified. The other mode is set as a sound source output mode, and after correction processing of a sound source signal is performed by an acoustic model adaptive filter 311 using an acoustic model to which the above parameters are applied, a mode is output as an acoustic signal. [0036] The acoustic model is assumed to model the frequency characteristics of the user's ear canal. The acoustic model according to the present embodiment is generated on the basis of, in particular, a resonance peak among frequency characteristics of the user's ear canal. [0037] The switching unit 308 switches between the correction setting mode and the sound source output mode. Then, in the case of the correction setting mode, processing for constructing an acoustic model used by the correction filter by the correction setting mode processing unit 307 is performed. On the other hand, in the case of the sound source output mode, after the sound source output mode processing unit 302 processes the sound source signal input to the sound source input unit 301, an acoustic signal is output to the object to be measured. . [0038] In the present embodiment, an electrical signal input from the mobile phone terminal 110 as voice data is used as a sound source signal. The sound signal is the sound output from the sound output unit 201 of the earphone 120. [0039] 08-05-2019 10 The correction setting mode processing unit 307 includes a measurement signal generation unit 321, a parameter specification unit 322, a characteristic specification unit 323, and a response data acquisition unit 324. In the present embodiment, when the switching unit 308 switches to the sound source output mode, processing of each configuration is performed using generation of the measurement reference signal of the measurement signal generation unit 321 as a trigger. [0040] The measurement signal generation unit 321 generates a measurement reference signal indicating an electrical signal for measuring the resonance characteristic (frequency characteristic) of the ear canal. The measurement reference signal is an electrical signal predetermined to measure the resonance characteristic of the ear canal. [0041] Then, the measurement reference signal generated by the measurement signal generation unit 321 is converted into an acoustic signal by the electric / acoustic conversion unit 303. The measurement reference signal converted into the acoustic signal is taken as a measurement acoustic signal. The measurement acoustic signal according to this embodiment includes a plurality of sine waves including at least one of unit pulses, time-stretched pulses, white noise, band noise including a measurement band, and sine waves in the measurement band. Let it be a signal synthesized by waves. [0042] Then, the measurement acoustic signal converted by the electric / sound conversion unit 303 is output from the sound output unit 201. Thereafter, the acoustic input unit 202 performs an input process on the response acoustic signal (which is a reflected sound) corresponding to the output measurement acoustic signal. Then, the response acoustic signal subjected to the input processing is converted into an electrical signal by the acoustic / electrical conversion unit 306. The converted electrical signal is used as a response signal. [0043] 08-05-2019 11 The response data acquisition unit 324 acquires a response signal. The response signal is a signal obtained by converting the response acoustic signal reflected by the ear canal into an electrical signal. [0044] The characteristic specifying unit 323 analyzes the frequency characteristic of the acquired response signal to specify the resonance characteristic of the ear canal. The characteristic specifying unit 323 according to the present embodiment specifies the resonance frequency for each resonance peak by analyzing the response signal. As a method of specifying the resonance frequency, any method may be used regardless of a known method. [0045] Characteristic specifying unit 323 according to the present embodiment specifies resonance characteristics for each frequency band. For example, the property specifying unit 323 specifies the resonance property of the frequency band including the first resonance peak, and specifies the resonance property of the frequency band including the second resonance peak. The characteristic specifying unit 323 according to the present embodiment specifies the gain of each resonance peak, the resonance frequency, and the like as the resonance characteristic. [0046] The parameter specifying unit 322 specifies a parameter to be set in the acoustic model for each frequency band based on the resonance characteristic (frequency characteristic) for each frequency band specified by the characteristic specifying unit 323. The parameter specifying unit 322 according to the present embodiment specifies a parameter set in an acoustic model based on the first resonance peak and a parameter set in an acoustic model based on the second resonance peak. Hereinafter, an acoustic model constructed on the basis of each resonance peak is referred to as a partial acoustic model. [0047] 08-05-2019 12 The parameter specifying unit 322 according to the present embodiment specifies the propagation time for each acoustic model as a parameter for setting the acoustic model for each frequency band. Specifically, the parameter specifying unit 322 specifies the propagation time to be set in the first partial acoustic model based on the first resonance peak, from the resonance characteristics of the frequency band including the first resonance peak. Furthermore, the parameter specifying unit 322 specifies the propagation time to be set to the second acoustic model based on the second resonance peak from the resonance characteristics of the frequency band including the second resonance peak. The propagation time is specified using a known method. [0048] Furthermore, the parameter specifying unit 322 specifies the reflectance for each acoustic model from the detected resonance frequency and the size of each resonance peak. Specifically, the parameter specifying unit 322 specifies the reflectance to be set in the first partial acoustic model from the size of the first resonance peak. Furthermore, the parameter specifying unit 322 specifies the reflectance to be set to the second partial acoustic model from the size of the second resonance peak. In addition, the said reflectance can also be specified using a well-known method. [0049] As described above, the parameter specifying unit 322 sets parameters for each partial acoustic model from the resonance characteristics specified by the property specifying unit 323. Thereby, it is possible to perform correction processing appropriate for the frequency band. As a result, for example, even when the resonance frequency of the fundamental vibration is not n times the resonance frequency of the n-th vibration, appropriate correction can be performed. [0050] The sound source input unit 301 inputs and processes a sound source signal as a source of an acoustic signal supplied to the ear canal. [0051] 08-05-2019 13 The sound source output mode processing unit 302 includes an acoustic model adaptive filter 311. When switched to the sound source output mode, the sound source signal input by the sound source input unit 301 is subjected to processing by the acoustic model adaptive filter 311, the electric / sound conversion unit 303, and the sound output unit 201 described below. [0052] The acoustic model adaptive filter 311 performs a filtering process on the sound source signal subjected to the input processing by combining a plurality of partial acoustic models in which parameters are set. Thereby, correction processing can be performed. FIG. 15 is a diagram showing an example in which an acoustic model is adapted in the acoustic model adaptive filter 311. As shown in FIG. [0053] As shown in FIG. 15, the acoustic model adaptive filter 311 includes a first partial acoustic model adaptation unit 1401, a first frequency band division filter 1402, a second partial acoustic model adaptation unit 1403, and a second frequency. A band division filter 1404 and a combination unit 1406 are provided. [0054] The first partial acoustic model adaptation unit 1401 generates, based on the setting of the parameter by the parameter specification unit 322, a first partial acoustic model that is the inverse characteristic of the resonance peak, based on the first resonance peak. The second partial acoustic model adaptation unit 1403 generates, based on the setting of the parameter by the parameter specification unit 322, a second partial acoustic model that is the inverse characteristic of the resonance peak, based on the second resonance peak. [0055] 08-05-2019 14 The first frequency band division filter 1402 extracts the frequency component of the frequency band including the first resonance peak from the first partial acoustic model generated by the first partial acoustic model adaptation unit 1401. In this embodiment, a low pass filter for extracting a low frequency band is used. [0056] The second frequency band division filter 1404 extracts frequency components of the frequency band including the second and subsequent resonance peaks from the second partial acoustic model generated by the second partial acoustic model adaptation unit 1403. In this embodiment, a high pass filter for extracting a high frequency band is used. [0057] The frequency dividing the frequency band including the first resonance peak and the frequency band including the second and subsequent resonance peaks is the first resonance frequency as the fundamental vibration and the second resonance frequency as the double vibration. An appropriate frequency may be set from the frequency between and. [0058] The combination unit 1406 combines the frequency components of the frequency band including the first resonance peak from the first partial acoustic model adaptation unit 1401 and the second and subsequent resonance peaks from the second partial acoustic model adaptation unit 1403. And the frequency component of the included frequency band. In other words, the combination unit 1406 includes the frequency component of the frequency band including the first resonance peak in the first partial acoustic model, and the frequency component of the frequency band including the second resonance peak in the second partial acoustic model. , Is combined to mean that an acoustic model is generated. [0059] 08-05-2019 15 FIG. 16 is a diagram showing the concept of the acoustic model constructed in the acoustic model adaptive filter 311. As shown in FIG. The first partial acoustic model 1601 shown in FIG. 16 is the first partial acoustic model generated by the first partial acoustic model adaptation unit 1401, and the second partial acoustic model 1602 is the second partial acoustic model. It is a second partial acoustic model generated by the model adaptation unit 1403. [0060] Then, in the first partial acoustic model 1601, only the frequency component of the low frequency band including the first resonance peak is extracted by the first frequency band division filter 1603. On the other hand, in the second partial acoustic model 1602, only frequency components in the high frequency band including the second resonance peak are extracted by the second frequency band division filter 1604. Then, the acoustic model 1605 used in the acoustic model adaptive filter 311 is generated by combining the partial acoustic models of the extracted frequency components by the combination unit 1406. Then, in the acoustic model adaptive filter 311, the sound source signal is filtered using the generated acoustic model 1605. [0061] Specifically, the first partial acoustic model adaptation unit 1401 generates a first comb filter based on the generated first partial acoustic model. A value based on the specified propagation time and reflectance is set to the delay element (z1 to zn) and the amplification element (b1 to bn) of the comb filter. On the other hand, the second partial acoustic model adaptation unit 1403 generates a second comb filter based on the generated second partial acoustic model. [0062] The sound source signal input to the first partial acoustic model adaptation unit 1401 is corrected by the first comb filter, and then input to the first frequency band dividing filter 1402 and includes the first resonance peak. Only the source signal of the frequency band is extracted. [0063] On the other hand, the sound source signal input to the second partial acoustic model adaptation unit 1403 is filtered by the second comb filter, and then input to the second frequency band 08-05-2019 16 division filter 1404, and the second and subsequent resonance peaks are Only the source signal of the included frequency band is extracted. [0064] Thereafter, in the combining unit 1406, the sound source signal of the frequency band including the first resonance peak and the sound source signal of the frequency band including the second and subsequent resonance peaks are combined. Thus, it is possible to generate a sound source signal that has been corrected so as to suppress the resonance of each resonance peak. [0065] Next, an overall processing procedure of the acoustic characteristic correction device 150 according to the present embodiment will be described. FIG. 17 is a flowchart showing the above-described processing procedure of the acoustic characteristic correction device 150. [0066] First, the switching unit 308 determines whether to measure the frequency characteristic (step S1701). If it is determined that the acoustic characteristic is to be measured (step S1701: YES), the correction setting mode processing unit 307 performs processing in the correction setting mode (step S1702). [0067] On the other hand, when it is determined that the frequency characteristic is not measured (step S1701: No), or after the process of step S1702 ends, the sound source output mode processing 08-05-2019 17 unit 302 performs the process in the sound source output mode (step S1703). Processing according to each mode is performed according to the above-described processing procedure. [0068] Next, processing in the correction setting mode in the acoustic characteristic correction device 150 according to the present embodiment will be described. FIG. 18 is a flowchart showing the procedure of the above-described process in the acoustic characteristic correction device 150 according to the present embodiment. [0069] First, the measurement signal generation unit 321 generates a measurement reference signal indicating an electrical signal for measuring the resonance characteristic (frequency characteristic) of the ear canal (step S1801). Next, the electrical / acoustic conversion unit 303 converts the measurement reference signal into a measurement acoustic signal (step S1802). Thereafter, the sound output unit 201 outputs the measurement sound signal to the ear canal (step S1803). [0070] Thereafter, the sound input unit 202 performs input processing on the response sound signal reflected from the ear canal (step S1804). Next, the acoustic / electrical conversion unit 306 converts the response acoustic signal into a response signal that is an electrical signal (step S1805). [0071] Then, the response data acquisition unit 324 acquires a response signal. Next, the characteristic specifying unit 323 specifies, from the response signal, resonance characteristics including the resonance frequency of each resonance peak (first resonance peak, second resonance peak, etc.) (step S1806). After that, the parameter specifying unit 322 specifies the parameter of the partial acoustic model of each acoustic model from the specified resonance characteristics (step S1807). 08-05-2019 18 Thereafter, the parameter specifying unit 322 sets the specified parameters in each partial acoustic model, whereby a plurality of partial acoustic models are generated in the acoustic model adaptive filter 311 (step S1808). In the present embodiment, an acoustic model having an inverse characteristic of each resonance peak is generated. [0072] According to the above-described processing procedure, a partial acoustic model for making an appropriate correction to the user's ear canal was generated. Further, since the acoustic model adaptive filter 311 is provided with a configuration for combining frequency components of each partial acoustic model according to frequency bands, it means that an acoustic model combining the respective frequency components of the partial acoustic model is constructed. Do. [0073] Next, the processing up to the output of an acoustic signal in the acoustic characteristic correction device 150 according to the present embodiment will be described. FIG. 19 is a flowchart showing the procedure of the above-described process in the acoustic characteristic correction device 150 according to the present embodiment. [0074] First, the sound source input unit 301 inputs a sound source signal, which is an electric signal, from the mobile phone terminal 110 (step S1901). [0075] Next, the first partial acoustic model adaptation unit 1401 and the second partial acoustic model adaptation unit 1403 perform correction processing on the input sound source signal with the filter using the generated partial acoustic model. The operation is performed (step S1902). After that, the first frequency band division filter 1402 and the second frequency band division filter 1404 extract frequency components of each frequency band with respect to the sound source signal after the correction processing by the filter using each acoustic model. Step S1903. 08-05-2019 19 After that, the combination unit 1406 combines the sound source signals of the frequency components of the extracted frequency bands (step S1904). As a result, the sound source signal in which the appropriate correction is performed for each frequency band is generated. [0076] Thereafter, the electrical / acoustic conversion unit 303 converts the combined sound source signal into an acoustic signal (step S1905). Thereafter, the sound output unit 201 outputs the sound signal to the ear canal (step S1906). [0077] According to the above-described processing procedure, even if the external ear canal has a complicated shape including a narrowed portion and the resonance frequency does not appear at integral multiples like a uniform sound tube, an acoustic signal subjected to correction processing according to the external ear canal Can be output. [0078] In the present embodiment, an example in which the earphone 120 is applied has been described, but the present invention is not limited to the earphone, and may be, for example, headphones. [0079] The acoustic characteristic correction device 150 according to the present embodiment makes it possible to perform correction in accordance with the characteristics of an individual's ear. In addition, the acoustic characteristic correction device 150 can also perform correction in accordance with the difference between the left and right ears and the insertion state. [0080] Furthermore, since the acoustic characteristic correction device 150 according to the present 08-05-2019 20 embodiment performs the correction for suppressing the resonance peak, it is possible to perform the correction with less deterioration of the sound quality. In addition, since resonance characteristics are used and identification results of resonance characteristics are not used, tuning can be easily performed with a small number of parameters. In addition, arithmetic processing can be reduced. [0081] The acoustic characteristic correction device 150 according to the present embodiment combines partial acoustic models generated with reference to each resonance peak. As a result, the processing load can be reduced and the cost of the device can be reduced, as compared to the case of identifying the resonance characteristic of the user. [0082] The acoustic characteristic correction device 150 according to the present embodiment can perform simple and flexible correction on the resonance characteristic of the object to be measured having acoustic characteristics that are not flat on the frequency axis. It can be improved. Further, as compared with the case where resonance characteristics are identified, no factor other than the ear enters, so that the accuracy of correction can be improved and the sound quality characteristics can be improved. [0083] Modified Example In the first embodiment, the case where the filter to which the acoustic model for removing the resonance peak is applied is generated is described. However, the present invention is not limited to the generation of such an acoustic model, and an acoustic model representing each resonance peak may be generated. Thus, as a modification, an example of constructing an acoustic model representing each resonance peak will be described. In addition, about another structure, description is abbreviate ¦ omitted as it is the same as that of 1st Embodiment. 08-05-2019 21 [0084] FIG. 20 is a diagram showing the concept of the acoustic model constructed in the acoustic model adaptive filter 311 according to the present modification. The first partial acoustic model 2001 shown in FIG. 20 is an acoustic model generated by the first partial acoustic model adaptation unit 1401, and the second partial acoustic model 2002 is a second partial acoustic model adaptation unit 1403. Is a generated acoustic model. [0085] Then, in the first partial acoustic model 2001, only the frequency component of the low frequency band including the first resonance peak is extracted by the first frequency band division filter 2003. On the other hand, in the second partial acoustic model 2002, only the frequency component of the high frequency band including the second resonance peak is extracted by the second frequency band division filter 2004. Then, the acoustic model 2005 used in the acoustic model adaptive filter 311 is generated by combining the partial acoustic models of the extracted frequency components by the combination unit 1406. Then, the acoustic model adaptive filter 311 performs filtering of the sound source signal using the generated acoustic model 2005. [0086] Then, the first partial acoustic model generated by the first partial acoustic model adaptation unit 1401 is input to the first frequency band division filter 1402, and only the acoustic model of the frequency band including the first resonance peak is extracted. Ru. On the other hand, the second partial acoustic model input to the second partial acoustic model adaptation unit 1403 is input to the second frequency band division filter 1404, and only the acoustic model of the frequency band including the second and subsequent resonance peaks is extracted Be done. [0087] Thereafter, in the combining unit 1406, the first partial acoustic model of the frequency band including the first resonance peak and the second partial acoustic model of the frequency band including the second and subsequent resonance peaks are combined. This makes it possible to 08-05-2019 22 generate an acoustic model corrected so as to suppress the resonance of each resonance peak. [0088] Since an acoustic model that appropriately represents each resonance peak can be constructed by the process described above, the acoustic model can be applied to various applications such as removal of resonance characteristics. [0089] In the acoustic characteristic correction device 150 according to the present embodiment and the modification, an example in which the external ear canal at the time of wearing the earphone is generated as an acoustic model has been described. With this system, the characteristics when the earphone is attached are intentionally added, and the characteristics when the earphone is not attached are generated as an acoustic model, and those with the characteristics when the earphone attached are removed are added and added when the earphone is not attached. Acoustic characteristics can be realized. [0090] Furthermore, in the acoustic characteristic correction apparatus 150 according to the present embodiment and the modification, it is possible to perform simple and flexible correction on the resonance characteristic of the object to be measured having acoustic characteristics that are not flat on the frequency axis. . Furthermore, since the present invention can be applied to objects having adverse conditions and complex characteristics in terms of hardware resources etc., the application range has been broadened. [0091] Assuming that the ear canal when wearing the earphones is a uniform acoustic tube with countless resonance frequencies blocked by the earphones and tympanic membrane (wall) as shown in FIG. 8, the resonance frequency harmful to the sense of hearing is removed It can be difficult to do. On the other hand, in the present modification, since it is possible to construct an 08-05-2019 23 acoustic model that appropriately represents each resonance peak, it is possible to appropriately remove the acoustically harmful resonance frequency by generating a filter or the like based on the acoustic model. . [0092] Even when the acoustic model and the inverse filter model shown in the above-described modified example are applied, the same effect as that of the first embodiment can be obtained. [0093] The acoustic characteristic correction apparatus 150 shown in FIG. 21 includes a CPU 2101, a ROM (Read Only Memory) 2102, a RAM 2103, a sound source interface 2104, and a bus 2105 connecting these, and a normal computer is used. It has a hardware configuration. [0094] The acoustic characteristic correction program to be executed by the acoustic characteristic correction device 150 according to the above-described embodiment is provided by being incorporated in advance in the ROM 2102 or the like. [0095] The acoustic characteristic measurement program to be executed by the acoustic characteristic correction program to be executed by the acoustic characteristic correction device 150 according to the above-described embodiment is a CD-ROM, a flexible disk (FD , And may be provided by being recorded on a computer-readable recording medium such as a CD-R, a DVD (Digital Versatile Disk), or the like. [0096] Furthermore, an acoustic characteristic correction program executed by the acoustic characteristic correction device 150 according to the above-described embodiment is stored on a computer connected to a network such as the Internet and provided by being downloaded via the network. You may. The acoustic characteristic correction program executed by the acoustic characteristic correction device 150 according to the above-described embodiment may be provided or distributed via a 08-05-2019 24 network such as the Internet. [0097] The acoustic characteristic correction program executed by the acoustic characteristic correction device 150 according to the embodiment described above has a module configuration including the above-described components. As an actual hardware, the CPU 2101 executes the acoustic characteristic correction program from the ROM 2102 Is read out and executed to load the above-described units onto the RAM 2103, and the above-described components are generated on the RAM 2103. [0098] It is the figure which showed the example of the sound reproduction apparatus of 1st Embodiment. It is the conceptual diagram which showed the earphone used for correction ¦ amendment of the resonance characteristic in 1st Embodiment, and a surrounding environment. It is a block diagram showing composition of an acoustic characteristic amendment device concerning a 1st embodiment. It is a conceptual diagram showing the ear canal when the earphone is not attached. It is a figure showing the frequency characteristic of the ear canal when not wearing the earphone. It is a conceptual diagram showing an ear canal when wearing an earphone. It is a figure showing the frequency characteristic of the ear canal when wearing an earphone. It is a figure showing the concept in the case of assuming that the ear canal on which the earphone is attached is a uniform resonance tube blocked by the earphone and a wall (tympanic membrane). It is a conceptual diagram showing fundamental vibration in a uniform resonance pipe. It is a conceptual diagram showing 2 time vibration in a uniform resonance pipe. It is the figure which showed the frequency characteristic of the uniform resonance pipe which represented the ear canal. It is a conceptual diagram showing the inverse characteristic of the resonance which arises with a uniform resonance tube. It is a figure showing composition of a comb filter showing reverse characteristic of resonance. It is the figure which showed the frequency characteristic of 08-05-2019 25 the ear canal which has an acoustic characteristic which is not flat on a frequency axis, and the inverse characteristic of a uniform resonance pipe. It is the block diagram which showed each structure for constructing ¦ assembling an acoustic model in an acoustic model adaptive filter. Acoustic Model FIG. 2 is a diagram showing the concept of an acoustic model constructed in an adaptive filter. It is a flowchart which shows the whole process sequence of an acoustic characteristic correction apparatus. It is a flowchart which shows the process sequence by correction setting mode in the acoustic characteristic correction apparatus concerning 1st Embodiment. It is a flowchart which shows the process sequence until it outputs the acoustic signal in the acoustic characteristic correction apparatus concerning 1st Embodiment. It is the figure which showed the concept of the acoustic model built in the acoustic model adaptive filter concerning a modification. It is the figure which showed the hardware constitutions of the acoustic characteristic correction apparatus. Explanation of sign [0099] DESCRIPTION OF SYMBOLS 100 sound reproduction apparatus 110 mobile phone terminal 120 earphone 130 case part 150 sound characteristic correction apparatus 201 sound output unit 202 sound input unit 301 sound source input unit 302 sound source output mode processing unit 303 electric / acoustic conversion unit 306 acoustic / electric conversion unit 307 Correction setting mode processing unit 308 Switching unit 311 Acoustic model adaptive filter 321 Measurement signal generating unit 322 Parameter specifying unit 323 Characteristic specifying unit 324 Response data acquisition unit 330 Microphone 1401 Partial acoustic model adaptation unit 1402 First frequency band division filter 1403 Second Partial acoustic model adaptation unit 1404 second frequency band division filter 1406 combination unit 2101 CPU 2102 ROM 2103 RAM 2104 sound source interface 2105 bus 08-05-2019 26
© Copyright 2021 DropDoc