Fujitsu Corporation

Toyo Seikan Kaisha, Ltd.

Naoshi Matsuo

Shoji Hayakawa

Chikako Matsumoto

Kaori Suzuki

Taisuke Itou

Naoji Fujino

Toshiaki Nobumoto

Koji Okazaki

Mitsuru Tsuboi

Takashi Hamano

Kiichi Matsuda

Nobuyuki Washio

Tsuneo Imatani

Hiroshi Katayama

Akira Kamano

Shouji Harada

Kimio Takeuchi

Yasushi Inamoto

Hiroichi Egawa

Hitoshi Iwamida

Nobuhide Eguchi

Naomi Suga

A non-transitory computer-readable recording medium having stored therein an update program that causes a computer to execute a procedure, the procedure includes calculating a selection rate of each of a plurality of quantization points included in a quantization table, based on quantization data obtained by quantizing features of a plurality of utterance data, and updating the quantization table by updating the plurality of quantization points based on the selection rate.

Information processing apparatus and update method

A voice correction method implemented by a computer, the method includes: obtaining first voice information which is voice information recorded when noise is generated and on which noise suppression processing is performed and second voice information indicating voice information recorded in an environment in which no noise is generated, and generating emphasized information by emphasizing a component of a band corresponding to a band having a low signal noise ratio (SNR) of the first voice information, among bands of the second voice information; performing machine learning on a model based on the first voice information and the emphasized information; and generating corrected voice information by correcting third voice information on which noise suppression processing is performed, based on the machine-learned model.

Voice correction apparatus and voice correction method

An apparatus divides each of first and second sound-signals generated respectively by first and second sound-input devices, into frames having a predetermined time length, and converts each frame of the first and second sound-signals into first and second frequency-spectra, respectively, in a frequency domain. For each frame, the apparatus calculates, based on the first and second frequency-spectra, a probability that a sound of the frame is emitted only from a sound-source positioned in a second direction among a first direction prioritized with respect to sound reception and the second direction, and outputs a first directivity sound-signal including a sound coming from the first direction, while controlling, depending on the probability, output of the first directivity sound-signal and a second directivity sound-signal including a sound coming from the second direction, where each of the first and second directivity sound-signals is calculated based on the first and second frequency-spectra.

Output control of sounds from sources respectively positioned in priority and nonpriority directions

A speech recognition method to be performed by a computer, the method including: detecting a first keyword uttered by a user from an audio signal representing voice of the user; detecting a term indicating a request of the user from sections that follow the first keyword in the audio signal; and determining a type of speech recognition processing applied to the following sections in accordance with the detected term indicating the request of the user.

Determining a type of speech recognition processing according to a request from a user

A sound processing method includes: executing a time frequency conversion process; executing a noise level evaluation process; executing a bandwidth controlling process; executing a sound source direction decision process; executing a gain setting process; executing a correction process; and executing a frequency time conversion process.

Sound processing method, apparatus for sound processing, and non-transitory computer-readable storage medium

A noise suppression device including: a processor configured to: divide a voice signal into frames such that two successive frames overlap each other; compute a frequency spectrum for the voice signal; remove a noise component from an amplitude component of the frequency spectrum to compute a noise suppression amplitude component; compare amplitude components or noise suppression amplitude components for each pair of successive frames to compute a comparison value for each frequency; compute a gain according to the comparison value for each frequency; compute a corrected amplitude component for each frequency by multiplying the noise suppression amplitude component by the corresponding gain; and compute a corrected voice signal based on the corrected amplitude component for each frequency.

Noise suppression device and noise suppressing method

A voice signal processing method includes: converting a first and a second voice signals to a first and a second frequency signals; setting a coefficient of existence representing degree of existence of a target sound and a coefficient of non-existence representing degree of existence of a non-target sound based on a phase difference for each of the predetermined frequencies between the first and the second frequency signals and a target sound existence region indicating an existence position of the target sound; and judging whether the first voice and/or the second voice include the target sound, based on the coefficient of existence, the coefficient of non-existence and a representative value corresponding to either one of the first and the second frequency signals.

Medium for voice signal processing program, voice signal processing method, and voice signal processing device

A microphone array device includes a first sound reception unit configured to obtain a first sound signal that is input from a first microphone, a second sound reception unit configured to obtain a second sound signal that is input from a second microphone, a noise state evaluation unit configured to compare the first sound signal and the second sound signal and to obtain an evaluation parameter to evaluate an influence of a non-target sound included in the second sound signal on a target sound included in the first sound signal according to a result of the comparison, a subtraction adjustment unit configured to set a suppression amount for the second sound signal based on the evaluation parameter and to generate a third sound signal; and a subtraction unit configured to generate a signal to be output based on the third sound signal and the first sound signal.

Microphone array device

A noise suppression device includes: an adaptive filter unit that suppresses, using an adaptive filter, a noise component contained in a voice signal generated from a voice captured by a voice input unit to generate a corrected voice signal; a noise generation detection unit that detects timing of generation of the noise component in the voice signal; and a period suppression unit that suppresses the corrected voice signal during a predetermined period of time after the timing of the generation of the noise component.

Noise suppression device and noise suppression method

An audio signal processing device that includes: a processor configured to execute a procedure, the procedure comprising: detecting a speech segment of an audio signal; suppressing noise in the audio signal; and adjusting an amount of suppression of noise such that the amount of suppression during a specific period, which starts from a position based on a terminal end of the detected speech segment and is a period shorter than a period spanning from the terminal end of the detected speech segment to a starting end of a next speech segment, becomes greater than in other segments, and a memory configured to store audio signals before and after noise suppression and the amount of suppression before and after adjustment.

Audio signal processing device, audio signal processing method, and recording medium storing a program

A speech enhancement device which includes: a speech production section detection unit configured to detect a speech production section in which a speaker produces speech, from an input signal generated by a speech input unit; a timer unit configured to measure an elapsed time from a starting point of the speech production section; a gain determination unit configured to determine a gain, which represents a level of enhancement of the input signal, according to the elapsed time; and an enhancement unit configured to enhance the input signal or a spectrum signal of the input signal in the speech production section according to the gain, whereby the input signal is enhanced only at necessary portions thereof.

Speech enhancement device and speech enhancement method

A sound processing apparatus includes a first calculator that calculates first power based on a first signal received by a first microphone that is among the first microphone and a second microphone; a second calculator that calculates second power based on a second signal received by the second microphone; a gain calculator that calculates a gain on the basis of the ratio of the first power to the second power; and a multiplier that processes the second signal using the gain calculated by the gain calculator.

Sound processing apparatus and recording medium storing a sound processing program

An echo suppression device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute: generating a corrected sound signal by suppressing an echo signal representing an echo generated by collecting, by a sound input unit, a sound arising from a reproduction sound signal reproduced by a sound output unit; obtaining a gain to attenuate the corrected sound signal according to a degree of distortion of the echo signal with which intensity of the echo signal non-linearly changes with respect to an intensity change of the reproduction sound signal; and suppressing the corrected sound signal according to the gain.

Echo suppression device and echo suppression method

A speech enhancement apparatus includes: a noise estimating unit which estimates a noise component contained in a speech signal for each frequency band; a signal-to-noise ratio computing unit which computes, for each frequency band, a signal-to-noise ratio; a gain computing unit which selects a frequency band whose computed signal-to-noise ratio indicates that the signal component contained in the speech signal for the frequency band is recognizable, and which determines a gain indicating the degree of enhancement to be applied to the speech signal in accordance with the signal-to-noise ratio of the selected frequency band; and an enhancing unit which amplifies an amplitude component of a frequency domain signal in each frequency band in accordance with the gain, and which corrects the amplitude component of the frequency domain signal by subtracting the noise component from the amplitude component in each frequency band.

Speech enhancement apparatus and speech enhancement method

A voice processing apparatus includes: a dividing unit which divides a voice signal into frames in such a manner that any two successive frames overlap each other by a predetermined amount; a first windowing unit which multiplies each frame by a first windowing function that attenuates a signal at both ends of the frame; an orthogonal transform unit which computes a frequency spectrum for each frame multiplied by the first windowing function; a frequency signal processing unit which computes a corrected frequency spectrum; an inverse orthogonal transform unit which computes a corrected frame by applying an inverse orthogonal transform to the corrected frequency spectrum; a second windowing unit which multiplies each corrected frame by a second windowing function that attenuates a signal at both ends of the corrected frame; and an addition unit which adds up the each corrected frame multiplied by the second windowing function, sequentially in time order.

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Kawasaki, Japan

Naoshi Matsuo