A Speech Enhancement Technique Using Kalman Filter with State Vector of Time-Frequency Patterns(Special Section on Acoustic Signal Processing)
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概要
- 論文の詳細を見る
A new speech enhancement technique is proposed assuming that a speech signal is represented in terms of a linear probabilistic process and that a noise signal is represented in terms of stationary random process. Since the target signal, i.e., speech, cannot be represented by a stationary random process, a Wiener filter does not yield an optimum solution to this problem regarding the minimum mean variance. Instead, a Kalman filter may provide a suitable solution in this case. In the Kalman filter, a signal is represented as a sequence of varying state vectors, and the transition is dominated by transition matrices. Our proposal is to construct the state vectors as well as the transition matrices based on time-frequency pattern of signals calculated by a wavelet transformation (WT). Computer simulations verify that the proposed technique has a high potential to suppress noise signals.
- 社団法人電子情報通信学会の論文
- 2001-04-01
著者
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Suzuki Y
The Research Institute Of Electrical Communication Tohoku University
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Suzuki Y
Research Institute Of Electrical Communication And Graduate School Of Information Science Tohoku Uni
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Suzuki Y
Research Institute Of Electrical Communication Tohoku University
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Sone T
Tohoku Univ. Sendai‐shi Jpn
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Sone T
Akita Prefectural Univ. Honjo Jpn
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Sone T
Faculty Of Systems Science And Technology Akita Prefectural University
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Sone Toshio
The Akita Prefectural University
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Sone Toshio
Emeritus Professor Tohoku University
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Suzuki Yoiti
Graduate School Of Information Science Tohoku University
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Suzuki Y
Tohoku Univ. Sendai Jpn
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NISHIMURA Ryouichi
the Research Institute of Electrical Communication, Tohoku University
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ASANO Futoshi
the Electrotechnical Laboratory
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SUZUKI Yoiti
the Research Institute of Electrical Communication, Tohoku University
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Nishimura R
Tohoku Univ. Sendai‐shi Jpn
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Sone T
Akita Prefectural Univ. Honjyo Jpn
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Suzuki Y
Research Institute Of Electrical Communication Graduate School Of Information Sciences Tohoku Univer
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Asano F
Graduate School Of Information Science Tohoku University
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Asano Futoshi
Media Interaction Group Information Technology Research Institute Aist
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