Presentation | 1996/3/8 Multiple Speech Segregation by Using the Optimum Harmonics Tracking Filter Kazuki Nishi, Mototsugu Abe, Shigeru Ando, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a new harmonics tracking algorithm for auditory scene analysis. It extracts the most significant stream from multiple sound streams as well as the tracking of each harmonic components. For the optimum tracking of pitch candidates, a novel estimation technique based on nonlinear Kalman filtering and Parzen estimate (non-parametric Kalman filter, NPKF) is used. For invariant reconstruction of harmonic components against pitch estimation error, we perform filtering process in the wavelet domain. Using simulated data and real world data, we show several experimental results for extracting the most dominant sound stream among multiple ones. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Auditory Scene Analysis / Harmonics Tracking / Wavelet Analysis / Pitch Estimation |
Paper # | SP95-148 |
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Conference Information | |
Committee | SP |
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Conference Date | 1996/3/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Speech (SP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Multiple Speech Segregation by Using the Optimum Harmonics Tracking Filter |
Sub Title (in English) | |
Keyword(1) | Auditory Scene Analysis |
Keyword(2) | Harmonics Tracking |
Keyword(3) | Wavelet Analysis |
Keyword(4) | Pitch Estimation |
1st Author's Name | Kazuki Nishi |
1st Author's Affiliation | University of Electro-Communications() |
2nd Author's Name | Mototsugu Abe |
2nd Author's Affiliation | The University of Tokyo |
3rd Author's Name | Shigeru Ando |
3rd Author's Affiliation | The University of Tokyo |
Date | 1996/3/8 |
Paper # | SP95-148 |
Volume (vol) | vol.95 |
Number (no) | 566 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |