Abstract: A non-transitory computer-readable recording medium having stored therein a program that causes a computer to execute a procedure, the procedure includes detecting a plurality of voice sections from an input sound that includes voices of a plurality of speakers, calculating a feature amount of each of the plurality of voice sections, determining a plurality of emotions, corresponding to the plurality of voice sections respectively, of a speaker of the plurality of speakers for each of the plurality of voice sections, and clustering a plurality of feature amounts, based on a change vector from the feature amount of the voice section determined as a first emotion of the plurality of emotions of the speaker to the feature amount of the voice section determined as a second emotion of the plurality of emotions different from the first emotion.

Abstract: A non-transitory computer-readable recording medium storing a program that causes a computer to execute a process for evaluating a voice, the process includes analyzing a voice signal to detect a pitch frequency; selecting an evaluation target region to be evaluated in the detected pitch frequency based on a distribution of a detection rate of the detected pitch frequency; and evaluating a voice based on the distribution of the detection rate and the selected evaluation target region. An Impression of the voice using a correction to the distribution is evaluated and determined as good when a spread of the corrected distribution is larger than or equal to a certain threshold.

Abstract: A speech processing method for estimating a pitch frequency includes: executing a conversion process that includes acquiring an input spectrum from an input signal by converting the input signal from a time domain to a frequency domain; executing a feature amount acquisition process that includes acquiring a feature amount of speech likeness for each band included in a target band based on the input spectrum; executing a selection process that includes selecting a selection band selected from the target band based on the feature amount of speech likeness for each band; and executing a detection process that includes detecting a pitch frequency based on the input spectrum and the selection band.

Abstract: A speech processing method for estimating a pitch frequency includes: specifying, for each determination result of a speech-like-frame, a fundamental sound by using a plurality of local maximum values included in a spectrum of a respective frame determined as the speech-like-frame; obtaining a learned value by performing learning processing on a magnitude of the fundamental sound specified from each determination result of the speech-like-frame, the learned value including an average value and a variance of the magnitude of the fundamental sound specified from each determination result of the speech-like-frame; and executing a detection process by using the learned value, the detection process including detecting a pitch frequency of the respective frame determined as the speech-like-frame by using a threshold, the threshold being obtained by subtracting the variance included in the learned value from the average value included in the learned value.

Abstract: A detection method implemented by a computer, the detection method includes: acquiring voice information containing voices of a plurality of speakers; detecting a first speech segment of a first speaker among the plurality of speakers included in the voice information based on a first acoustic feature of the first speaker, the first acoustic feature being obtained by performing a machine learning; and detecting a second speech segment of a second speaker among the plurality of speakers based on a second acoustic feature, the second acoustic feature being an acoustic feature included in the voice information associated with a predetermined time range, the predetermined time range being a time range outside the first speech segment.

Abstract: A recording medium stores a program causing a computer to execute processing including: specifying demonstrative words from character information; extracting a first feature of a first referent corresponding to a first demonstrative word, and a second feature of a second referent corresponding to a second demonstrative word; calculating a similarity between the first feature and the second feature corresponding to a same one of the genres; calculating a degree of attention based on information out of the voice information, the character information, and the image information; selecting at least genres based on the similarity and the degree of attention; creating a first complementary word obtained by modifying a name of the first referent with the first feature corresponding to each of the selected genres; and creating a second complementary word obtained by modifying a name of the second referent with the second feature corresponding to each of the selected genres.

Abstract: A voice processing method for estimating an impression of speech includes: executing an acquisition process that includes acquiring voice signals; executing a feature acquisition process that includes acquiring acoustic features regarding the voice signals from the voice signals; executing a voice-parameter acquisition process that includes acquiring a voice parameter regarding a frame of the voice signals; executing a relative-value determination process that includes determining a relative value between the determined voice parameter and a statistical value of the voice parameter; executing a weight assignment process that includes assigning a weight to the frame of the voice signals in accordance with the relative value; and executing a distribution determination process that includes determining a distribution of the acoustic features, based on the weight assigned to the frame of the voice signals.

Abstract: A non-transitory computer-readable recording medium records a program for causing a computer to execute an utterance impression determination process. The utterance impression determination process includes specifying a current fundamental frequency from a voice signal which is received, calculating a relaxation value by changing the current fundamental frequency in chronological order so that the change in the current fundamental frequency becomes moderate, and evaluating the voice signal based on a degree of a magnitude of a difference between at least one feature amount associated with the current fundamental frequency and the relaxation value corresponding to the feature amount.

Abstract: There is provided an audio processing device including a memory, and a processor coupled to the memory and the processor configured to detect a first acoustic feature amount and a second acoustic feature amount of an input audio, calculate a coefficient for the second acoustic feature amount based on a time change amount by calculating the time change amount of the first acoustic feature amount, and calculate a statistical amount for the second acoustic feature amount based on the coefficient.

Abstract: An information processing apparatus includes a memory, and a processor coupled to the memory and configured to specify a first signal level of a first voice signal, specify a second signal level of a second voice signal, and execute evaluation of at least one of the first voice signal and the second voice signal based on at least one of a sum of the first signal level and the second signal level and an average of the first signal level and the second signal level.

Abstract: A non-transitory computer-readable recording medium having stored therein a program that causes a computer to execute a procedure, the procedure includes detecting a plurality of voice sections from an input sound that includes voices of a plurality of speakers, calculating a feature amount of each of the plurality of voice sections, determining a plurality of emotions, corresponding to the plurality of voice sections respectively, of a speaker of the plurality of speakers for each of the plurality of voice sections, and clustering a plurality of feature amounts, based on a change vector from the feature amount of the voice section determined as a first emotion of the plurality of emotions of the speaker to the feature amount of the voice section determined as a second emotion of the plurality of emotions different from the first emotion.

Abstract: A confused state determination device that includes: an audio receiver that receives input of call audio; a memory; and a processor that is connected to the memory and that is configured to detect a questioning utterance in a call-hold duration of the call audio, compute a frequency of the questioning utterance detected in the call-hold duration, and determine a user to be in a confused state in a case in which the computed questioning utterance frequency is a first threshold value or greater.

Abstract: A method for processing speech includes: executing a acquiring process that includes acquiring a speech signal; executing a detection process that includes detecting a first frequency spectrum from the speech signal; executing a calculation process that includes calculating a second spectrum based on an envelope of the first spectrum; executing a correction process that includes correcting the first spectrum based on comparison between a first amplitude of the first spectrum and a second amplitude of the second spectrum; executing a estimation process that includes estimating a pitch frequency of the speech signal in accordance with correlation between the corrected first frequency spectrum and periodic signals corresponding to frequencies in a certain band.

Abstract: An audio processing method including: generating a plurality of frequency spectra by transforming a plurality of audio signals inputted to a plurality of input devices respectively, comparing an amplitude of each of frequency components of a specific frequency spectrum included in the plurality of frequency spectra with an amplitude of each of frequency components of one or a more other frequency spectra different from the specific frequency spectrum included in the plurality of frequency spectra, for each of the frequency components, extracting, from the frequency components, a frequency component in which an amplitude of the specific frequency spectrum is larger than an amplitude of the one or more other frequency spectra, and controlling an output corresponding to the plurality of audio signal inputted to each of the plurality of input devices based on a proportion of the extracted frequency component in the frequency components whose amplitudes has been compared.

Abstract: A voice processing device includes: a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: detecting a first utterance section included in a first voice and a second utterance section included in a second voice; specifying an overlapping section within which the first utterance section and the second utterance section overlap with each other; calculating a first utterance continuation section from a start point of the overlapping section to an end point of the first utterance section; and evaluating an impression regarding the first voice at least on the basis of information relating to a length of the first utterance continuation section.

Abstract: A speech evaluation apparatus includes a memory, and a processor coupled to the memory and configured to generate a first input spectrum obtained by frequency transforming a first signal that is a signal of a first period, generate a second input spectrum obtained by frequency transforming a second signal that is the signal of a second period earlier than the first period, generate a processed spectrum obtained by transforming frequency of the second input spectrum based on a change ratio set in advance, calculate a correlation value between the first input spectrum and the processed spectrum, and determine a change amount of pitch frequency from the first signal to the second signal based on the change ratio and the correlation value.

Abstract: A non-transitory computer-readable recording medium storing a program that causes a computer to execute a process for evaluating a voice, the process includes analyzing a voice signal to detect a pitch frequency; selecting an evaluation target region to be evaluated in the detected pitch frequency based on a distribution of a detection rate of the detected pitch frequency; and evaluating a voice based on the distribution of the detection rate and the selected evaluation target region.

Abstract: A sound processing device includes a processor configured to generate a first frequency spectrum of a first sound signal corresponding to a first sound received at a first input device and a second frequency spectrum of a second sound signal corresponding to the first sound received at a second input device, calculate a transfer characteristic based on a first difference between an intensity of the first frequency spectrum and an intensity of the second frequency spectrum, generate a third frequency spectrum of a third sound signal transmitted from the first input device and a fourth frequency spectrum of a fourth sound signal transmitted from the second input device, specify a suppression level of an intensity of the fourth frequency spectrum based on a second difference between an intensity of the third frequency spectrum and an intensity of the fourth frequency spectrum.

Abstract: A speech processing method for estimating a pitch frequency includes: executing a conversion process that includes acquiring an input spectrum from an input signal by converting the input signal from a time domain to a frequency domain; executing a feature amount acquisition process that includes acquiring a feature amount of speech likeness for each band included in a target band based on the input spectrum; executing a selection process that includes selecting a selection band selected from the target band based on the feature amount of speech likeness for each band; and executing a detection process that includes detecting a pitch frequency based on the input spectrum and the selection band.

Abstract: A voice processing method for estimating an impression of speech includes: executing an acquisition process that includes acquiring voice signals; executing a feature acquisition process that includes acquiring acoustic features regarding the voice signals from the voice signals; executing a voice-parameter acquisition process that includes acquiring a voice parameter regarding a frame of the voice signals; executing a relative-value determination process that includes determining a relative value between the determined voice parameter and a statistical value of the voice parameter; executing a weight assignment process that includes assigning a weight to the frame of the voice signals in accordance with the relative value; and executing a distribution determination process that includes determining a distribution of the acoustic features, based on the weight assigned to the frame of the voice signals.