Kabushiki Kaisha Toshiba

Asahi Kasei Chemicals Corporation

Yusuke Kida

Kaoru Suzuki

Masaru Sakai

Takashi Masuko

Makoto Hirohata

Ning Ding

Kazushige Ouchi

Akinori Kawamura

Yoshinaga Tamura

A noise suppression device includes an estimating unit that estimates, from a feature quantity representing the feature in each frequency range of a first acoustic signal which represents sound, the noise component of the feature quantity; a calculating unit that calculates, from the feature quantity and the noise component for each frequency range, a first suppression coefficient to be used in suppressing noise included in the first acoustic signal; a first attenuating unit that attenuates the first suppression coefficient in the time domain and calculates a second suppression coefficient; a second attenuating unit that attenuates the second suppression coefficient in the frequency domain and calculates a third suppression coefficient; and a generating unit that estimates, from the feature quantity and the third suppression coefficient, a voice component of the feature quantity and generates a second acoustic signal in which the noise included in the first acoustic signal is suppressed.

Noise suppression device, noise suppression method, and computer program product

According to an embodiment, a sound source direction estimation apparatus includes an acquisition unit, a generator, a comparator, and an estimator. The acquisition unit is configured to acquire acoustic signals of a plurality of channels from a plurality of microphones. The generator is configured to calculate a phase difference of the acoustic signals of the plurality of channels for each predetermined frequency bin to generate a phase difference distribution. The comparator is configured to compare the phase difference distribution with a template generated in advance for each direction, and calculate a score in accordance with similarity between the phase difference distribution and the template for each direction. The estimator is configured to estimate a direction of a sound source based on the scores calculated.

Sound source direction estimation apparatus, sound source direction estimation method and computer program product

In a speech processing apparatus, an acquisition unit is configured to acquire a speech. A separation unit is configured to separate the speech into a plurality of sections in accordance with a prescribed rule. A calculation unit is configured to calculate a degree of similarity in each combination of the sections. An estimation unit is configured to estimate, with respect to the each section, a direction of arrival of the speech. A correction unit is configured to group the sections whose directions of arrival are mutually similar into a same group and correct the degree of similarity with respect to the combination of the sections in the same group. A clustering unit is configured to cluster the sections by using the corrected degree of similarity.

Speech processing apparatus and method

According to one embodiment, an apparatus for discriminating speech/non-speech of a first acoustic signal includes a weight assignment unit, a feature extraction unit, and a speech/non-speech discrimination unit. The weight assignment unit is configured to assign a weight to each frequency band, based on a frequency spectrum of the first acoustic signal including a user's speech and a frequency spectrum of a second acoustic signal including a disturbance sound. The feature extraction unit is configured to extract a feature from the frequency spectrum of the first acoustic signal, based on the weight of each frequency band. The speech/non-speech discrimination unit is configured to discriminate speech/non-speech of the first acoustic signal, based on the feature.

Apparatus and method for discriminating speech of acoustic signal with exclusion of disturbance sound, and non-transitory computer readable medium

According to one embodiment, an apparatus for discriminating speech/non-speech of a first acoustic signal includes a weight assignment unit, a feature extraction unit, and a speech/non-speech discrimination unit. The first acoustic signal includes a user's speech and a reproduced sound. The reproduced sound is a system sound having a plurality of channels reproduced from a plurality of speakers. The weight assignment unit is configured to assign a weight to each frequency band based on the system sound. The feature extraction unit is configured to extract a feature from a second acoustic signal based on the weight of each frequency band. The second acoustic signal is the first acoustic signal in which the reproduced sound is suppressed. The speech/non-speech discrimination unit is configured to discriminate speech/non-speech of the first acoustic signal based on the feature.

Apparatus and method for discriminating speech, and computer readable medium

According to one embodiment, a television apparatus includes a speech input unit, an indication input unit, a speech recognition unit, and a control unit. The speech input unit is configured to input a speech. The indication input unit is configured to input an indication to start speech recognition from a user. The speech recognition unit is configured to recognize the user's speech inputted after the indication is inputted. The control unit is configured to execute an operation command corresponding to a recognition result of the user's speech. The control unit, if a volume of the television apparatus at a timing when the indication is inputted is larger than or equal to a threshold, temporarily sets the volume to a value smaller than the threshold while the speech recognition unit is recognizing.

Television apparatus and a remote operation apparatus

A logarithmic frequency spectrum within a predetermined time range is calculated from a speech signal. The logarithmic frequency spectrum has a frequency element at equal intervals along a logarithmic frequency axis. A logarithmic frequency spectrogram is calculated by connecting a plurality of logarithmic frequency spectrums. A value of the frequency element along a straight line on the logarithmic frequency spectrogram is voted onto a Hough plane. The Hough plane has a voted value in correspondence with a gradient of the straight line. The voted value above a threshold and the gradient corresponding to the voted value are extracted from the Hough plane. A fundamental frequency change is calculated using the voted value and the gradient extracted.

Apparatus and method for calculating a fundamental frequency change

There is provided a cleansing composition which has creamy foaming and excellent cleansing power, provides no stretched feeling of skin after rinsing and a refreshed feeling of skin, is excellent in storage stability and exhibits no reduction in physical properties, formation of precipitates and yellowing during a long-term storage period by combining N-acyl-aspartic acid or a salt thereof and N-acyl-diaspartic acid or a salt thereof, which have the same molecular structure of the N-acyl group, with a higher fatty acid or a salt thereof which has the same alkyl group as that of the above described N-acyl residue.

Cleansing composition

A feature extraction apparatus includes a spectrum calculating unit that calculates, based on an input speech signal, a frequency spectrum having frequency components obtained at regular intervals on a logarithmic frequency scale for each of frames that are defined by regular time intervals, and thereby generates a time series of the frequency spectrum; a cross-correlation coefficients calculating unit that calculates, for each target frame of the frames, a cross-correlation coefficients between frequency spectra calculated for two different frames that are in vicinity of the target frame and a predetermined frame width apart from each other; and a shift amount predicting unit that predicts a shift amount of the frequency spectra on the logarithmic frequency scale with respect to the predetermined frame width by use of the cross-correlation coefficients.

Growing community of inventors

Kanagawa, Japan

Yusuke Kida