Kabushiki Kaisha Toshiba

Akinori Kawamura

Kazuo Sumita

Satoshi Kamatani

Koichi Yamamoto

Yojiro Tonouchi

Kazushige Ouchi

Masaru Sakai

Ryosuke Koshiba

Hiroshi Fujimura

Takashi Sudo

Kaoru Suzuki

Tadashi Amada

Chikashi Sugiura

Yusuke Kida

A first speech processing device includes a first speech input unit and a first speech output unit. A second speech processing device includes a second speech input unit and a second speech output unit. In a server therebetween, a speech of a first language sent from the first speech input unit is recognized. The speech recognition result is translated into a second language. The translation result is back translated into the first language. A first speech synthesis signal of the back translation result is sent to the first speech output unit. A second speech synthesis signal of the translation result is sent to the second speech output unit. Duration of the second speech synthesis signal or the first speech synthesis signal is measured. The first speech synthesis signal and the second speech synthesis signal are outputted by synchronizing a start time and an end time thereof, based on the duration.

Speech translation apparatus, speech translation method, and non-transitory computer readable medium thereof

According to one embodiment, a speech of a first language is recognized using a speech recognition dictionary to recognize the first language and a second language, and a source sentence of the first language is generated. The source sentence is translated into a second language, and a translation sentence of the second language is generated. An unknown word included in the translation sentence is detected. The unknown word is not stored in the speech recognition dictionary. A first pronunciation candidate of the unknown word is estimated, from a representation of the unknown word. A second pronunciation candidate of the unknown word is estimated from a pronunciation of an original word included in the source sentence corresponding to the unknown word. The unknown word, the first pronunciation candidate and the second pronunciation candidate, are registered into the speech recognition dictionary correspondingly.

Apparatus for speech recognition includes a recognition unit configured to recognize a speech signal and to generate a first recognition result, a transmitting unit that transmits at least one of the speech signal and a recognition feature to a server, a receiving unit that receives a second recognition result from the server, a result generating unit configured to generate a third recognition result, a result storage unit that stores the third recognition result and a dictionary update unit configured to update the client recognition dictionary.

Apparatus and method for speech recognition

A first speech input device captures a speech of a first language. A first speech output device outputs another speech of the first language. A second speech input device captures a speech of a second language. A second speech output device outputs another speech of the second language. In a speech recognition/translation server, a first speech recognition device receives a first utterance speech of the first language from the first speech input device, and recognizes the first utterance speech. A first machine translation device consecutively translates the first language of the recognition result into the second language without waiting completion of the first utterance speech. A first speech synthesis device generates a second speech of the translation result. A first output adjustment device outputs the first utterance speech and the second speech to the second speech output device by adjusting a volume of the first utterance speech to be smaller than a volume of the second speech.

System and method for translating speech, and non-transitory computer readable medium thereof

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

According to one embodiment, an electronic device includes a touch panel, an operation module, a detector, and a switch module. The touch panel and the operation module are configured to receive an operation command. The detector detects whether the touch panel is wet based on a touch position detected by the touch panel. The switch module switches, if the touch panel is wet, the receiver of the operation command from the touch panel to the operation module.

Touch screen device with wet detection and control method thereof

A speech recognition apparatus, method and computer program product whereby noise is subtracted from an input speech signal by a plurality of spectral subtractions having differing rates of noise subtraction to produce plural noise-subtracted signals, at least one speech features is extracted from the noise-subtracted signals, and the extracted feature is compared with a standard speech pattern obtained beforehand to recognize the speech signal based on a result of the comparison. In addition, features can be extracted from at least one of the noise-subtracted signals and also the input speech signal for comparison with the standard speech pattern. Plural features can be combined into a single feature for the comparison.

Speech recognition apparatus, method and computer program product

A speech-duration detector includes a starting-end detecting unit that detects a starting end of a first duration where the characteristic exceeds a threshold value as a starting end of a speech-duration, when the first duration continues for a first time length; a trailing-end-candidate detecting unit that detects a starting end of a second duration where the characteristic is lower than the threshold value as a candidate point for a trailing end of speech, when the second duration continues for a second time length; and a trailing-end-candidate determining unit that determines the candidate point as a trailing end of the speech-duration, when the second duration where the characteristic exceeds the threshold value does not continue for the first time length while a third time length elapses from measurement at the candidate point.

Speech-duration detector and computer program product therefor

A handwriting recognition apparatus is disclosed. In one embodiment the apparatus comprises an input device having a handwriting input area and configured to input a plurality of strokes constructing a plurality of characters written successively on the handwriting input area, and a recognition device configured to recognize the characters based on the strokes input by the input device, shapes of the strokes constructing two characters which are written successively and positional relations between or among the strokes constructing the two characters, whenever one stroke is input by the input device.

Apparatus, method, and program for handwriting recognition

An acoustical-signal processing apparatus includes a feature extracting unit that extracts feature data common to each channel signal which forms a multichannel acoustical signal, based on a composite similarity obtained by combining similarities calculated from each channel signal; and a time-base companding unit that executes time compression and time expansion of the multichannel acoustical signal based on the extracted feature data.

Acoustical-signal processing apparatus, acoustical-signal processing method and computer program product for processing acoustical signals

A noise estimation unit estimates a noise signal in an input signal. A section decision unit distinguishes a target signal section from a noise signal section in the input signal. A noise suppression unit suppresses the noise signal based on a first suppression coefficient from the input signal. A noise excess suppression unit suppresses the noise signal based on a second suppression coefficient from the input signal. The second suppression coefficient is larger than the first suppression coefficient. A switching unit switches between an output signal from the noise suppression unit and an output signal from the noise excess suppression unit based on a decision result of the section decision unit.

Growing community of inventors

Tokyo, Japan

Akinori Kawamura