Kabushiki Kaisha Toshiba

Uihyun Kim

Yojiro Tonouchi

Toshiaki Nakasu

Shojun Nakayama

According to one embodiment, a voice activity detection apparatus includes a processing circuit. The processing circuit acquires an acoustic signal and a non-acoustic signal, calculates an acoustic feature based on the acoustic signal, calculates a non-acoustic feature based on the non-acoustic signal, calculates a voice emphasized feature based on the acoustic signal and the non-acoustic signal, calculates a voice existence/non-existence feature on the basis of the acoustic feature and the non-acoustic feature, calculates a voice existence score based on the voice emphasized feature and the voice existence/non-existence feature, detects a voice section and/or a non-voice section based on comparison of the voice existence score with a threshold.

Voice activity detection apparatus, learning apparatus, and storage medium

According to one embodiment, a work estimation apparatus includes processing circuitry. The processing circuitry acquires video data on a predetermined area, calculates a work value related to work performed by a worker included in the video data, based on the video data, and displays the work value.

Work estimation apparatus, method and non-transitory computer-readable storage medium

According to one embodiment, a voice activity detection apparatus comprises a processing circuit. The processing circuit calculates an acoustic feature based on an acoustic signal; calculates a non-acoustic feature based on a non-acoustic signal; calculates a correlation coefficient based on the acoustic feature and the non-acoustic feature; and detects a voice section and/or a non-voice section based on a comparison of the correlation coefficient with a threshold, the voice section being a time section in which voice is presence, the non-voice section being a time section in which voice is absence.

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Kawasaki Kanagawa, Japan

Uihyun Kim