Sound processing method, sound processing device, and program

Abstract

To provide a sound processing method for enabling understanding to be easily obtained on which one of channels is to be adjusted.SOLUTION: A sound processing method includes: generating a mixed sound signal by receiving and mixing sound signals to be output from a plurality of input channels; displaying a spectrum diagram of the sound signals of the input channels or the mixed sound signal; calculating similarity in a predetermined frequency band on the basis of, the sound signals of the respective input channels among the input channels and the mixed sound signal; and allowing a display mode in the predetermined frequency band to be different on the basis of, the similarity concerning at least one channel among the input channels in the spectrum diagram.SELECTED DRAWING: Figure 7

Description

[Technical field]

[0001] An embodiment of the present invention relates to a sound processing method, a sound processing device, and a program. [Background technology]

[0002] Patent document 1 discloses an audio signal processing device that acquires an audio signal differentiated for each frequency band, assigns different color data for each band to the acquired audio signal, generates data in which the brightness of the color data is changed based on the level of each band of the audio signal, generates data by summing the generated data for all bands, and generates image data for display on an image display device. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2006 / 100980 Summary of the Invention [Problem to be solved by the invention]

[0004] A user (e.g., an operator of an audio mixer) may adjust the frequency characteristics of each of the multiple sound signals of the channels before mixing, so that the frequency characteristics after mixing the sound signals of the multiple channels approach target characteristics.

[0005] Users have difficulty understanding which channel to tune.

[0006] One aspect of the present disclosure aims to provide a sound processing method that allows easy understanding of which channel should be adjusted. [Means for solving the problem]

[0007] The sound processing method receives and mixes sound signals output from a plurality of input channels to generate a mixed sound signal, displays a spectral diagram of the sound signals of the plurality of input channels or the mixed sound signal, calculates a similarity in a predetermined frequency band between the sound signals of each of the plurality of input channels and the mixed sound signal, and differs the display mode in the predetermined frequency band for at least one channel of the plurality of input channels in the spectral diagram based on the similarity.

[0008] Alternatively, the sound processing method includes accepting and mixing sound signals output from a plurality of input channels to generate a mixed sound signal, accepting target frequency characteristics of the mixed sound signal, calculating a similarity in a predetermined frequency band between the sound signal output from one of the plurality of input channels and the target frequency characteristics, and determining, based on the similarity, a channel among the plurality of input channels that is most dominant in the predetermined frequency band with respect to the target frequency characteristics. Effect of the Invention

[0009] The sound processing method makes it easy to understand which channels need to be adjusted. [Brief description of the drawings]

[0010] [Figure 1] 1 is a block diagram showing a configuration of an audio mixer 1. FIG. [Diagram 2] FIG. 2 is a block diagram showing a functional configuration of signal processing. [Diagram 3] 3 is a block diagram showing the functional configuration of an input channel 302, a stereo bus 303, and a MIX bus 304. FIG. [Figure 4] 2 is a schematic diagram of an operation panel of the audio mixer 1. FIG. [Diagram 5] 4 is a flowchart showing the operation of a sound processing method performed by the audio mixer 1. [Figure 6] FIG. 1 is an example of a spectrum diagram. [Figure 7]13 is an example of a spectrum diagram after a display mode is changed. [Figure 8] 13 is an example showing another display mode of the spectrum diagram. [Figure 9] 13 is an example showing another display mode of the spectrum diagram. [Figure 10] 10 is a flowchart showing the operation when determining the most dominant channel. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] 1 is a block diagram showing the configuration of an audio mixer 1. The audio mixer 1 is an example of a sound processing device of the present invention. The audio mixer 1 includes a display 201, an operation unit 202, an audio I / O 203, a signal processing unit 204, a network I / F 205, a CPU 206, a flash memory 207, and a RAM 208.

[0012] These components are connected via a bus 171. Furthermore, the audio I / O 203 and the signal processing unit 204 are also connected to a waveform bus 172 for transmitting digital audio signals.

[0013] The CPU 206 is a control unit that controls the operation of the audio mixer 1. The CPU 206 performs various operations by reading out a predetermined program stored in a flash memory 207, which is a storage medium, into a RAM 208 and executing the program. The program may be stored in a server. The CPU 206 may download the program from the server via a network and execute the program.

[0014] The signal processing unit 204 is composed of a DSP for performing various types of sound processing such as mixing processing. The signal processing unit 204 performs signal processing such as effect processing, level adjustment processing, and mixing processing on sound signals received via the network I / F 205 or the audio I / O 203. The signal processing unit 204 outputs the processed digital sound signals via the audio I / O 203 or the network I / F 205.

[0015] 2 is a block diagram showing a functional configuration of signal processing performed by the signal processing unit 204, the audio I / O 203 (or the network I / F 205), and the CPU 206. As shown in FIG. 2, the signal processing is functionally performed by an input patch 301, an input channel 302, a stereo bus 303, a MIX bus 304, an output channel 305, and an output patch 306.

[0016] The input patch 301 receives an audio signal from a microphone, a musical instrument, an instrument amplifier, or the like. The input patch 301 supplies the received audio signal to each channel of the input channels 302. Fig. 3 is a block diagram showing the functional configuration of the input channels. Each channel of the input channels 302 receives an audio signal from the input patch 301 and performs signal processing.

[0017] 3 is a block diagram showing the functional configuration of an input channel 302, a stereo bus 303, and a MIX bus 304. For example, the first input channel and the second input channel each include an input signal processing unit 350, a FADER 351, a PAN 352, and a send level adjustment circuit 353. The other input channels (not shown) also have the same configuration.

[0018] The input signal processing unit 350 performs effect processing such as an equalizer or a compressor, or level adjustment processing, etc. The FADER 351 adjusts the gain of each input channel.

[0019] 4 is a schematic diagram of the operation panel of the audio mixer 1. The operation panel has a channel strip 61 corresponding to each input channel. The channel strip 61 has sliders and knobs arranged vertically for each channel. The sliders correspond to the FADER 351 in FIG. 3. A user of the audio mixer 1 adjusts the gain of the corresponding input channel by changing the position of the slider.

[0020] The knob corresponds to, for example, the PAN 352 in FIG. 3. A user of the audio mixer 1 adjusts the left and right stereo level balance by moving the knob clockwise or counterclockwise. The sound signal distributed by the PAN 352 is sent to the stereo bus 303. Alternatively, the knob corresponds to, for example, the send level adjustment circuit 353 in FIG. 3. A user of the audio mixer 1 adjusts the amount of signal sent to the MIX bus 304 by moving the knob clockwise or counterclockwise. Alternatively, the slider can function as an operation unit that adjusts the amount of signal sent to the MIX bus 304. In this case, the slider corresponds to the send level adjustment circuit 353 in FIG. 3.

[0021] The stereo bus 303 is a bus corresponding to the main speakers in a hall or a conference room. The stereo bus 303 mixes the sound signals output from the respective input channels. The stereo bus 303 outputs the mixed sound signal to the output channel 305.

[0022] The MIX bus 304 is a bus for sending a mixed sound signal of sound signals of one or more input channels to a specific audio device such as a monitor speaker or a monitor headphone, etc. The MIX bus 304 outputs the mixed sound signal to an output channel 305.

[0023] The output channel 305 performs effect processing such as an equalizer or a compressor, and level adjustment processing, etc., on the sound signals output from the stereo bus 303 and the MIX bus 304. The output channel 305 outputs the mixed sound signal after the signal processing to the output patch 306.

[0024] The output patch 306 assigns each output channel to one of a plurality of analog output ports or digital output ports, so that the audio signal after signal processing is supplied to the audio I / O 203 or the network I / F 205.

[0025] Fig. 5 is a flowchart showing the operation of the sound processing method performed by the audio mixer 1. The audio mixer 1 receives sound signals output from a plurality of input channels (S11) and mixes them to generate a mixed sound signal (S12). In the configuration of Fig. 3, for example, the stereo bus 303 receives and mixes sound signals output from each channel of the input channels 302 to generate a mixed sound signal. Alternatively, the MIX bus 304 receives and mixes sound signals output from each channel of the input channels 302 to generate a mixed sound signal.

[0026] The audio mixer 1 displays a spectrum diagram of the sound signals of the multiple input channels or the mixed sound signal (S13). FIG. 6 is an example of a spectrum diagram. The audio mixer 1 A spectrum diagram such as that shown in FIG.

[0027] The horizontal axis of the spectrum diagram in FIG. 6 represents frequency, and the vertical axis represents level. That is, the spectrum diagram in FIG. 6 is displayed as a chart of frequency and energy. FIG. 6 shows the spectrum diagram of a mixed sound signal as an example. For example, a user of the audio mixer 1 adjusts the parameters of the equalizer in the input signal processing unit 350 so as to bring the spectrum diagram of the mixed sound signal closer to a target frequency characteristic. At this time, it is difficult for the user to understand which input channel's equalizer parameters should be adjusted to change the characteristics of a specific frequency band in the spectrum of the mixed sound signal. For example, when trying to increase the level of a high frequency band (for example, 1 to 5 kHz) in the mixed sound signal, the spectrum of the mixed sound signal does not change much even if the parameters of an input channel that has little effect on the high frequency band among the sound signals of the multiple input channels are adjusted. Therefore, the audio mixer 1 of this embodiment displays an index of which input channel's equalizer parameters should be adjusted to change the characteristics of a specific frequency band in the spectrum of the mixed sound signal.

[0028] The audio mixer 1 calculates a similarity in a predetermined frequency band from the sound signal of each input channel among the multiple input channels and the mixed sound signal (S14). The similarity includes concepts such as the dominance, contribution, or influence of each input channel for forming the mixed sound signal. The similarity is calculated, for example, by the cosine similarity of the predetermined frequency band. The cosine similarity is a value obtained by dividing the inner product of two vectors by the magnitude of the two vectors, and takes a value between -1 and 1. When the cosine similarity is 1, the two vectors are completely identical. When the cosine similarity is -1, the two vectors are in opposite directions and have the same magnitude. The audio mixer 1 regards the spectrum of the sound signal as a multidimensional vector. For example, the audio mixer 1 regards each predetermined frequency band of the spectrum as the direction of the vector. The audio mixer 1 regards the level of each frequency band (the average level value of all frequency bins in each frequency band) as the magnitude of the vector. The similarity between such vectors may also be calculated by Euclidean distance.

[0029] Then, the audio mixer 1 changes the display mode in the spectrum diagram in a predetermined frequency band for at least one channel among the multiple input channels based on the similarity (S15). Figure 7 shows an example of the spectrum diagram after the display mode has been changed. The horizontal axis of the spectrum diagram in Figure 7 also represents frequency, and the vertical axis represents level. That is, the spectrum diagram in Figure 7 is displayed as a chart of frequency and energy.

[0030] In the example of FIG. 7, the audio mixer 1 paints in the input channel having the highest similarity to the mixed sound signal among the multiple input channels for each predetermined frequency band with a corresponding color. For example, in a frequency band of 100 Hz or less, the channel having the highest similarity to the mixed sound signal is the first input channel. In a frequency band of 100 to 500 Hz, the channel having the highest similarity to the mixed sound signal is the second input channel. In a frequency band of 500 to 1000 Hz, the channel having the highest similarity to the mixed sound signal is the third input channel. In a frequency band of 1000 to 5000 Hz, the channel having the highest similarity to the mixed sound signal is the fourth input channel. In a frequency band of 5000 Hz or more, the channel having the highest similarity to the mixed sound signal is the first input channel. Therefore, the audio mixer 1 paints in the frequency bands of 100 or less and 5000 Hz or more with a color corresponding to the first input channel. The audio mixer 1 fills the frequency band from 100 to 500 Hz with a color corresponding to the second input channel. The audio mixer 1 fills the frequency band from 500 to 1000 Hz with a color corresponding to the third input channel. The audio mixer 1 fills the frequency band from 1000 to 5000 Hz with a color corresponding to the fourth input channel.

[0031] This allows the user of the audio mixer 1 to easily understand which input channel's equalizer parameters should be adjusted to change the characteristics of a specific frequency band in the spectrum of the mixed sound signal. For example, when the user of the audio mixer 1 tries to increase the level of a high-frequency band (e.g., 1 to 5 kHz) in the mixed sound signal, the user can intuitively understand that the channel with the highest similarity to the mixed sound signal in the high-frequency band (e.g., 1 to 5 kHz) is the fourth input channel by referring to the chart shown in FIG. 7. Therefore, the user of the audio mixer 1 can intuitively understand that the input channel that affects the high-frequency band of the sound signals of the multiple input channels is the fourth input channel. This allows the user of the audio mixer 1 to have a new customer experience of intuitively understanding which input channel's parameters should be adjusted.

[0032] Although Figures 6 and 7 show a spectral diagram of the mixed sound signal as an example, the audio mixer 1 may display a spectral diagram of each of the sound signals of the multiple input channels, or may display both the spectral diagram of each of the sound signals of the multiple input channels and the spectral diagram of the mixed sound signal.

[0033] The spectrum diagram is not limited to the example displayed as a chart of frequency and energy. Fig. 8 shows an example of another display mode of the spectrum diagram. The horizontal axis of the spectrum diagram in Fig. 8 is frequency, and the vertical axis is similarity. That is, the spectrum diagram in Fig. 8 is displayed as a chart of frequency and similarity.

[0034] In this example, the user of the audio mixer 1 can understand in detail the similarity of each input channel calculated for each frequency band. Therefore, the user of the audio mixer 1 can obtain a new customer experience in which the user can understand in more detail which input channel parameters should be adjusted for each frequency band.

[0035] Fig. 9 is an example showing yet another display mode of the spectrum diagram. The horizontal axis of the spectrum diagram in Fig. 9 is time (seconds), and the vertical axis is frequency. In other words, the spectrum diagram in Fig. 9 is displayed as a chart of time and frequency.

[0036] In this example, the user of the audio mixer 1 can check the channel with the highest similarity to the mixed sound signal in the frequency band in a time series. Therefore, the user of the audio mixer 1 can obtain a new customer experience in which the user can understand which input channel parameters should be adjusted for each frequency band while checking the time course.

[0037] The similarity may be an instantaneous value (value for each sampling period) or a value calculated every predetermined time (for example, 1 second). For example, the spectrogram shown in Fig. 9 is displayed based on the similarity calculated every 1 second. Alternatively, the similarity may be a value obtained by averaging the instantaneous values ​​calculated within a predetermined time period over the predetermined time period.

[0038] The sound processing method of the present invention does not necessarily have to display a spectrogram.The sound processing method may determine the most dominant channel in a given frequency band to a target frequency characteristic based on the similarity.

[0039] 10 is a flow chart showing the operation for determining the most dominant channel. Operations common to those in FIG. 5 are given the same reference numerals and description thereof will be omitted.

[0040] The audio mixer 1 receives the target frequency characteristic of the mixed sound signal (S103), instead of S13 in FIG.

[0041] The target frequency characteristic can be calculated, for example, by acquiring audio content (existing mixed sound signal) of a specific song and calculating it from the acquired audio content. The target frequency characteristic can also be acquired by selecting a specific song from a database that accumulates sound signals of multiple songs. In this case, a user of the audio mixer 1 operates the operation unit 202 to input the song name. The target frequency characteristic is calculated from the mixed sound signal of the audio content based on the input song name. The audio mixer 1 may also specify a song based on the mixed sound signal output from the output channel 305, acquire audio content of a song similar to the specified song (for example, of the same genre), and acquire the target frequency characteristic from the mixed sound signal. In this case, the corresponding song name can also be estimated from the input mixed sound signal using a trained model that has been machine-learned to learn the relationship between the sound signal and the song name.

[0042] The target frequency characteristics may be acquired in advance and stored in the flash memory 207. Alternatively, the target frequency characteristics may be stored in a server (not shown).

[0043] The target frequency characteristics may be obtained in advance from a mixed sound signal obtained when an experienced user (PA engineer) of the audio mixer 1 performs ideal parameter adjustment. The target frequency characteristics may be obtained in advance from audio content after an experienced recording engineer performs editing work. The user of the audio mixer 1 operates the operation unit 202 to input the name of the PA engineer or the recording engineer. The audio mixer 1 receives the name of the PA engineer or the recording engineer and obtains the corresponding target frequency characteristics.

[0044] Alternatively, the target frequency characteristic may be calculated based on a plurality of audio contents that have been acquired in advance. For example, the target frequency characteristic may be an average value of a plurality of mixed sound signals that are calculated based on the plurality of audio contents. Such an average value may be calculated for each song, genre, or engineer.

[0045] Alternatively, the audio mixer 1 may obtain a large number of audio contents of the same genre in advance for each of a plurality of genres, and mechanically train a predetermined model for the relationship between each genre and the corresponding target frequency characteristic to obtain a trained model. The audio mixer 1 may also obtain a large number of audio contents, such as audio contents of the same genre but with different arrangements or audio contents of different performers, and construct a trained model capable of estimating the corresponding target frequency characteristic from a desired genre and a desired arrangement, or a trained model capable of estimating the corresponding target frequency characteristic from a desired genre and a desired performer. A user of the audio mixer 1 operates the operation unit 202 to input a genre name or a song name. The audio mixer 1 accepts the genre name or the song name and obtains the corresponding target frequency characteristic.

[0046] Returning to FIG. 10, the audio mixer 1 uses the target frequency characteristic acquired in S103 to calculate a similarity in a predetermined frequency band from the sound signal of each input channel among the multiple input channels and the target frequency characteristic (S104).

[0047] Then, based on the similarity calculated in S104, the audio mixer 1 determines, from among the multiple input channels, the channel that is most dominant in a predetermined frequency band with respect to the target frequency characteristic (S105).

[0048] The similarity in S104 may be calculated using the cosine similarity or Euclidean distance described above, or may be calculated using a trained model that inputs multiple channels and target frequency characteristics and outputs the most dominant channel based on the similarity.

[0049] The audio mixer 1 prepares a data set including a target frequency characteristic and a label indicating which input channel should be adjusted to approach the target frequency characteristic for each predetermined frequency band of the target frequency characteristic. The audio mixer 1 trains a predetermined model using the data set. In other words, the audio mixer 1 trains the predetermined model to output the label of the channel that has the greatest influence (the most dominant) on the target frequency characteristic, using multiple channels and the target frequency characteristic as input. The audio mixer 1 inputs the sound signals and the target frequency characteristic of multiple input channels and obtains label information of the corresponding channels. This allows the audio mixer 1 to determine, based on the similarity, the channel that is most dominant in a predetermined frequency band with respect to the target frequency characteristic among the multiple input channels.

[0050] Alternatively, the audio mixer 1 may first compare the target frequency characteristics with the frequency characteristics of the mixed sound signal to determine which frequency band should be adjusted, and then determine the input channel with the highest similarity in the determined frequency band using the above-mentioned cosine similarity or Euclidean distance, etc. In this case, the audio mixer 1 can also determine the channel that is most dominant in a predetermined frequency band with respect to the target frequency characteristics among the multiple input channels.

[0051] The audio mixer 1 may display the determined channel, or may set the center frequency of the parametric equalizer processing to be applied to the sound signal of the determined channel to the corresponding frequency band.

[0052] In this case as well, the user of the audio mixer 1 can obtain a new customer experience in that the user can intuitively understand which input channel parameter should be adjusted.

[0053] The description of the present embodiment is illustrative in all respects and is not restrictive. The scope of the present invention is indicated by the claims, not by the above-described embodiments. Furthermore, the scope of the present invention is intended to include all modifications within the meaning and scope of the claims.

[0054] For example, the similarity may be calculated based on the energy intensity of a predetermined frequency band. That is, the audio mixer 1 may calculate the level of each frequency band (the average level value of all frequency bins in each frequency band) and use the level as the similarity.

[0055] The similarity may be obtained by a trained model that receives a plurality of channels and a mixed sound signal as input and outputs the most dominant channel based on the similarity. The audio mixer 1 prepares a data set in which a certain mixed sound signal and a label indicating which input channel is most dominant for each predetermined frequency band of the mixed sound signal are attached. The audio mixer 1 trains a predetermined model using the data set. That is, the audio mixer 1 trains the predetermined model to receive a plurality of channels and a mixed sound signal as input and output a label of the most dominant channel based on the similarity. The audio mixer 1 inputs a plurality of channels and a mixed sound signal and obtains label information of the corresponding channel. This allows the audio mixer 1 to change the display mode in a predetermined frequency band based on the similarity, or to determine the most dominant channel in a predetermined frequency band for a target frequency characteristic among the plurality of input channels. [Explanation of symbols]

[0056] 1: Audio mixer, 61: Channel strip, 171: Bus, 172: Waveform bus, 201: Display, 202: Operation unit, 203: Audio I / O, 204: Signal processing unit, 205: Network I / F, 206: CPU, 207: Flash memory, 208: RAM, 301: Input patch, 302: Input channel, 303: Stereo bus, 304: MIX bus, 305: Output channel, 306: Output patch, 350: Input signal processing unit, 353: Send level adjustment circuit

Claims

1. receiving and mixing sound signals output from a plurality of input channels to generate a mixed sound signal; Displaying a spectrum diagram of the sound signals of the multiple input channels or the mixed sound signal; Calculating a similarity in a predetermined frequency band from the sound signal of each input channel among the plurality of input channels and the mixed sound signal; In the spectrum diagram, a display mode of at least one channel among the plurality of input channels in the predetermined frequency band is changed based on the similarity. Sound processing methods.

2. receiving and mixing sound signals output from a plurality of input channels to generate a mixed sound signal; receiving a target frequency characteristic of the mixed sound signal; Calculating a similarity in a predetermined frequency band from a sound signal output from one of the plurality of input channels and the target frequency characteristic; determining, from among the plurality of input channels, a channel that is most dominant in the predetermined frequency band with respect to the target frequency characteristic based on the degree of similarity; Sound processing methods.

3. The similarity is calculated by a cosine similarity of the predetermined frequency band. The sound processing method according to claim 1 or 2.

4. The similarity is calculated based on the energy intensity of the predetermined frequency band. The sound processing method according to claim 1 or 2.

5. The similarity is determined by a trained model that receives the plurality of channels and the mixed sound signal as input and outputs a most dominant channel based on the similarity. The sound processing method according to claim 1 or 2.

6. The spectrum diagram is displayed as a chart of frequency and energy. The sound processing method according to claim 1 .

7. The spectrum diagram is displayed as a frequency and similarity chart. The sound processing method according to claim 1 .

8. The spectrum diagram is displayed in a time and frequency chart. The sound processing method according to claim 1 .

9. receiving and mixing sound signals output from a plurality of input channels to generate a mixed sound signal; Displaying a spectrum diagram of the sound signals of the multiple input channels or the mixed sound signal; Calculating a similarity in a predetermined frequency band from the sound signal of each input channel among the plurality of input channels and the mixed sound signal; In the spectrum diagram, a display mode of at least one channel among the plurality of input channels in the predetermined frequency band is changed based on the similarity. A sound processing device comprising a processor.

10. receiving and mixing sound signals output from a plurality of input channels to generate a mixed sound signal; receiving a target frequency characteristic of the mixed sound signal; Calculating a similarity in a predetermined frequency band from a sound signal output from one of the plurality of input channels and the target frequency characteristic; determining, from among the plurality of input channels, a channel that is most dominant in the predetermined frequency band with respect to the target frequency characteristic based on the degree of similarity; A sound processing device comprising a processor.

11. The similarity is calculated by a cosine similarity of the predetermined frequency band. The sound processing device according to claim 9 or 10.

12. The similarity is calculated based on the energy intensity of the predetermined frequency band. The sound processing device according to claim 9 or 10.

13. The similarity is determined by a trained model that receives the plurality of channels and the mixed sound signal as input and outputs a most dominant channel based on the similarity. The sound processing device according to claim 9 or 10.

14. The spectrum diagram is displayed as a chart of frequency and energy. The sound processing device according to claim 9 .

15. The spectrum diagram is displayed as a frequency and similarity chart. The sound processing device according to claim 9 .

16. receiving and mixing sound signals output from a plurality of input channels to generate a mixed sound signal; Displaying a spectrum diagram of the sound signals of the multiple input channels or the mixed sound signal; Calculating a similarity in a predetermined frequency band from the sound signal of each input channel among the plurality of input channels and the mixed sound signal; In the spectrum diagram, a display mode of at least one channel among the plurality of input channels in the predetermined frequency band is changed based on the similarity. A program that causes a sound processing device to execute processing.

17. receiving and mixing sound signals output from a plurality of input channels to generate a mixed sound signal; receiving a target frequency characteristic of the mixed sound signal; Calculating a similarity in a predetermined frequency band from a sound signal output from one of the plurality of input channels and the target frequency characteristic; determining, from among the plurality of input channels, a channel that is most dominant in the predetermined frequency band with respect to the target frequency characteristic based on the degree of similarity; A program that causes a sound processing device to execute processing.

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