VOICE SEPARATION DEVICE, VOICE SEPARATION METHOD, VOICE SEPARATION PROGRAM, AND VOICE SEPARATION SYSTEM

WIPO Patent Application WO/2020/039571

A1

A voice separation device (12) of this voice separation system is provided with: a feature amount extraction unit (121) that extracts time-series data of a voice feature amount of mixed voices; a block separation unit (122) that separates the voice feature amount time-series data into blocks having a certain time width; a voice separation neural network (1b) that creates, from the voice feature amount time-series data blocks, time-series data of a mask for each of a plurality of speakers; and a voice restoration unit (123) that restores the voice data of each of the plurality of speakers from the mask time-series data and voice feature amount time-series data of the mixed voices. In the creation of the mask time-series data for each of the plurality of speakers, the voice separation neural network (1b) uses time-series data of a block which temporally precedes the present time, in a forward-direction LSTM neural network, and uses time-series data of a block constructed by a predetermined number of frames which temporally succeed the present time, in a reverse-direction LSTM neural network.

AIHARA RYO (JP)
HANAZAWA TOSHIYUKI (JP)
OKATO YOHEI (JP)
WICHERN GORDON P (US)
LE ROUX JONATHAN (US)

PCT/JP2018/031294

February 27, 2020

August 24, 2018

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MITSUBISHI ELECTRIC CORP (JP)
MITSUBISHI ELECTRIC RES LABORATORIES INC (US)

G10L21/028; G10L21/0308

JP2018502319A	2018-01-25
US20170178666A1	2017-06-22

WANG, Z.-Q. ET AL.: "Alternative Objective Functions for Deep Clustering", PROC. ICASSP 2018, April 2018 (2018-04-01), pages 686 - 690, XP033401818, DOI: 10.1109/ICASSP.2018.8462507

YAMAGATA Yoichi et al. (JP)

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