Presentation | 2014-11-17 Unified approach for auditory scene analysis based on multichannel factorial hidden Markov model Takuya HIGUCHI, Hirokazu KAMEOKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper deals with the problems of audio source separation, audio event detection, dereverberation and DOA estimation. We focus on the fact that these problems are interdependent, and propose an unified approach for these problem. We model the generative process of observed signals with parameters each of which corresponds to a specific aspect of an audio source. Through the parameter inference, We can simultaneously salve the problems of auditory scene analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Non-negative matrix factorization / blind source separation / dereverberation / audio event detection / DOA |
Paper # | IBISML2014-57 |
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Committee | IBISML |
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Conference Date | 2014/11/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Unified approach for auditory scene analysis based on multichannel factorial hidden Markov model |
Sub Title (in English) | |
Keyword(1) | Non-negative matrix factorization |
Keyword(2) | blind source separation |
Keyword(3) | dereverberation |
Keyword(4) | audio event detection |
Keyword(5) | DOA |
1st Author's Name | Takuya HIGUCHI |
1st Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo() |
2nd Author's Name | Hirokazu KAMEOKA |
2nd Author's Affiliation | Graduate School of Information Science and Technology, The University of Tokyo:NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation |
Date | 2014-11-17 |
Paper # | IBISML2014-57 |
Volume (vol) | vol.114 |
Number (no) | 306 |
Page | pp.pp.- |
#Pages | 8 |
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