Kabushiki Kaisha Toshiba

Takehiko Kagoshima

Masahiro Morita

Masami Akamine

Masatsune Tamura

Kentaro Tachibana

Daichi Hayakawa

Hiroshi Fujimura

Gou Hirabayashi

Hiroshi Takahashi

Takashi Ida

Kouichirou Mori

Noriko Yamanaka

Katsumi Tsuchiya

Kenji Iwata

Ryo Morinaka

Yoko Sanbonsugi

Tatsuya Mizutani

Masaru Suzuki

Yuji Shimizu

Kosei Fume

Tomohiro Yamasaki

Daiki Tanaka

Nayuko Watanabe

Makoto Yajima

Toru Taniguchi

Osamu Nishiyama

Ning Ding

Shigenobu Seto

Javier Latorre

Yoshinori Shiga

Ryutaro Tokuda

Tatsuma Ishihara

Takaaki Nii

According to one embodiment, a speech recognition apparatus includes processing circuitry. The processing circuitry generates a plurality of augmented speech data, based on input speech data, generates a plurality of acoustic scores, based on the plurality of augmented speech data and an acoustic model, generates a plurality of adjusted acoustic scores by resampling the acoustic scores, generates an integrated acoustic score by integrating the adjusted acoustic scores, generates an integrated lattice, based on the integrated acoustic score, a pronunciation dictionary, and a language model, and searches a speech recognition result with a highest likelihood from the integrated lattice.

Speech recognition apparatus and method

According to one embodiment, a difference extraction device includes processing circuitry. The processing circuitry acquires a text in which an input notation string is described. The processing circuitry converts the input notation string into a pronunciation string. The processing circuitry executes a pronunciation string conversion process in which the pronunciation string is converted into an output notation string. The processing circuitry extracts a difference by comparing the input notation string and the output notation string with each other.

Difference extraction device, method and program

According to one embodiment, a dictionary editing apparatus includes a processor with hardware. The processor extracts a word from text data. The processor appends a character pronunciation to the extracted word. The processor calculates at least one of a first reliability denoting a reliability of the extracted word and a second reliability denoting a reliability of the appended character pronunciation. The processor specifies a word to be a modification candidate in accordance with the first reliability. The processor specifies a character pronunciation to be a modification candidate in accordance with the second reliability.

Dictionary editing apparatus, dictionary editing method, and recording medium recording thereon dictionary editing program

According to one embodiment, a speech recognition apparatus includes processing circuitry. The processing circuitry generates, based on sensor information, environmental information relating to an environment in which the sensor information has been acquired, generates, based on the environmental information and generic speech data, an adapted acoustic model obtained by adapting a base acoustic model to the environment, acquires speech uttered in the environment as input speech data, and subjects the input speech data to a speech recognition process using the adapted acoustic model.

Speech recognition apparatus, method and non-transitory computer-readable storage medium

A signal processing apparatus according an embodiment includes an acquisition unit and an application unit. The acquisition unit acquires M detection signals output from M detector devices having N-fold symmetry (M is an integer equal to or greater than 2, and N is an integer equal to or greater than 2). Each of the M detector devices detects original signals generated from K signal sources (K is an integer equal to or greater than 2) having the N-fold symmetry. The application unit applies a trained neural network to M input vectors corresponding to the M detection signals and outputs K output vectors. The same parameter is set to, of multiple weights included in a weight matrix of the trained neural network, weights that are commutative based on the N-fold symmetry.

Signal processing apparatus and non-transitory computer readable medium

According to one embodiment, a moving body operation support system includes an acquirer, a microphone, a transceiver, and a processor. The acquirer acquires moving body information relating to a state of a moving body. The microphone is provided in the moving body. The transceiver performs transmitting to and receiving from an operator communication device. The processor implements one of a first operation or a second operation based on the moving body information and instruction information. The instruction information relates to an instruction based on a sound acquired by the microphone. The instruction is of a user riding in the moving body. In the first operation, the processor causes the moving body to perform an operation corresponding to the instruction information. In the second operation, the processor enables communication between the user and the operator by the transmitting and receiving between the transceiver and the operator communication device.

Moving body operation support system

According to one embodiment, a signal processing apparatus includes the following units. The transform unit transforms a first signal into a time-frequency domain to obtain a second signal, the first signal obtained by detecting sound at each of different positions. The first calculation unit calculates a first spatial correlation matrix based on the second signal. The second calculation unit calculates a second spatial correlation matrix based on a third signal obtained by delaying the second signal by a predetermined time. The spatial filter unit generates a spatial filter based on the first spatial correlation matrix and the second spatial correlation matrix, and filters the second signal by using the spatial filter.

Signal processing apparatus and signal processing method

According to one embodiment, a signal generation device includes one or more processors. The processors convert an acoustic signal and output amplitude and phase at a plurality of frequencies. The processors, for each of a plurality of nodes of a hidden layer included in a neural network that treats the amplitude and the phase as input, obtain frequency based on a plurality of weights used in arithmetic operation of the node. The processors generate an acoustic signal based on the plurality of obtained frequencies and based on amplitude and phase corresponding to each of the plurality of nodes.

Acoustic signal processing with neural network using amplitude, phase, and frequency

According to one embodiment, an information processing apparatus includes one or more processors configured to detect a trigger from a voice signal, the trigger indicating start of voice recognition; and to perform voice recognition of a recognition sound section subsequent to a trigger sound section including the detected trigger, referring to a trigger and voice recognition dictionary corresponding to the trigger.

Information processing apparatus, information processing method, and computer program product

A signal processing apparatus includes one or more processors. The processors acquire a plurality of observed signals acquired from a plurality of microphone groups each including at least one microphone selected from a plurality of microphones. The microphone groups include respective microphone combinations each including at least one microphone, the combinations are different from each other, and at least one of the microphone groups includes a plurality of microphones. The processors estimate a mask indicating occupancy for each of time frequency points of a sound signal of a space corresponding to the observed signal in a plurality of spaces, for each of the observed signals. The processors integrate masks estimated for the observed signals to generate an integrated mask indicating occupancy for each of time frequency points of a sound signal in a space determined based on the spaces.

Signal processing apparatus, signal processing method, and computer program product

According to one embodiment, a sound processing apparatus extracts a feature of first speech uttered outside an objective area from first speech obtained at positions different from each other in a space of the objective area and a place outside the objective area. The apparatus creates, by learning, a determination model configured to determine whether an utterance position of second speech in the space is outside the objective area based at least in part on the feature uttered outside the objective area. The apparatus eliminates a portion of the second speech uttered outside the objective area from the second speech obtained by a second microphone based at least in part on the feature and the model. The apparatus detects and outputs remaining speech from the second speech.

Sound processing apparatus, speech recognition apparatus, sound processing method, speech recognition method, storage medium

In a speech recognition device according to one embodiment, a microphone detects sound and generates an audio signal corresponding to the sound, an adjustment processor adjusts a threshold to be a value less than a first volume level of first input audio signal generated by the microphone, and registers the adjusted threshold, a recognition processor reads the registered threshold, compares the registered threshold with a second input audio signal, discards the second input audio signal when a second volume level of the second input audio signal is less than the registered threshold, and performs a recognition process as the audio signal of a user to be recognized when the second volume level of the second input audio signal is greater than or equal to the registered threshold.

Speech recognition device, speech recognition method and storage medium using recognition results to adjust volume level threshold

According to an embodiment, a voice processing device includes a receiver, a separator, and an output controller. The receiver is configured to receive n input signals input into n voice input devices respectively corresponding to n sound sources, where n is an integer of 2 or more. The separator is configured to separate the input signals by the sound sources to produce n separation signals. The output controller is configured to, according to the number of sound sources having uttered voice sounds, switch between an output signal produced based on the input signal and an output signal produced based on the separation signal, and output the output signal.

Voice processing device, voice processing method, and computer program product

An acoustic processing apparatus includes a storage, an estimation unit, and a removal unit. The storage stores therein a reference signal indicating a signal obtained by completing removal of reverberation from a first observation signal included in a first processing section. The estimation unit estimates, on the basis of a model representing an observation signal as a signal obtained by adding a signal obtained by applying a reverberation removal filter to an acoustic signal that is input with a delay and the acoustic signal, a filter coefficient of the reverberation removal filter by using a second observation signal and the reference signal. The removal unit determines an output signal indicating a signal obtained by removing reverberation from the second observation signal by using the second observation signal, the reference signal, and the reverberation removal filter having the estimated filter coefficient.

Acoustic processing apparatus, acoustic processing method, and computer program product

According to an embodiment, a speech synthesizer includes a source generator, a phase modulator, and a vocal tract filter unit. The source generator generates a source signal by using a fundamental frequency sequence and a pulse signal. The phase modulator modulates, with respect to the source signal generated by the source generator, a phase of the pulse signal at each pitch mark based on audio watermarking information. The vocal tract filter unit generates a speech signal by using a spectrum parameter sequence with respect to the source signal in which the phase of the pulse signal is modulated by the phase modulator.

Speech synthesizer, audio watermarking information detection apparatus, speech synthesizing method, audio watermarking information detection method, and computer program product

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Yokohama, Japan

Takehiko Kagoshima