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Patent Searching and Data


Title:
SOUND SIGNAL MODEL LEARNING DEVICE, SOUND SIGNAL ANALYSIS DEVICE, METHOD AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/163940
Kind Code:
A1
Abstract:
According to the present invention, a model, which can output an embedded vector for obtaining a set of time-frequency points at which the same sound source is dominant, can be learnt stably and in a short time. On the basis of a sound source signal spectrogram formed from a plurality of sound sources, parameters of a neural network are learnt so that the embedded vector for the time-frequency points at which the same sound source is dominant is similar to an embedded vector for each time-frequency point output from the neural network that is a CNN.

Inventors:
KAMEOKA, Hirokazu (9-11 Midori-cho 3-chome, Musashino-sh, Tokyo 85, 〒1808585, JP)
LI, Li (302 10-20, Kasuga 4-chome Tukuba-cit, Ibaraki 21, 〒3050821, JP)
Application Number:
JP2019/006762
Publication Date:
August 29, 2019
Filing Date:
February 22, 2019
Export Citation:
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Assignee:
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (5-1 Otemachi 1-chome, Chiyoda-ku Tokyo, 16, 〒1008116, JP)
International Classes:
G10L21/0308
Attorney, Agent or Firm:
TAIYO, NAKAJIMA & KATO (3-17, Shinjuku 4-chome Shinjuku-k, Tokyo 22, 〒1600022, JP)
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