Evaluation of separation and dereverberation performance in frequency domain blind source separation
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概要
- 論文の詳細を見る
In this paper, we propose a new method for evaluating the separation and dereverberation performance of a convolutive blind source separation (BSS) system, and investigate a separating system obtained by employing frequency domain BSS based on independent component analysis (ICA). As a result, we reveal the acoustical characteristics of the frequency domain BSS for convolutive mixture of speech signals. We show that the separating system removes the direct sound of a jammer signal even when the frame length is relatively short, and it also reduces the reverberation of the jammer according to the frame length. We also confirm that the reverberation of the target is not reduced. Moreover, we propose a technique, suggested by the experimental results, for improving the quality of the separated signals by removing pre-echo noise.
- 社団法人日本音響学会の論文
著者
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Sawada Hiroshi
Ntt Communication Science Laboratories Ntt Corporation
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Makino Shoji
NTT Communication Science Laboratories
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MUKAI Ryo
NTT Communication Science Laboratories
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Makino Shoji
Ntt Communication Science Laboratories Ntt Corporation
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Makino S
Ntt Communication Sci. Lab. Kyoto Jpn
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Mukai Ryo
Ntt Communication Science Laboratories Ntt Corporation
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ARAKI Shoko
NTT Communication Science Laboratories, NTT Corporation
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Araki Shoko
Ntt Communication Science Laboratories Ntt Corporation
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Sawada Hiroshi
Ntt Communication Science Laboratories
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- FOREWORD
- Subband-Based Blind Separation for Convolutive Mixtures of Speech(Engineering Acoustics)
- Estimating the number of sources using independent component analysis
- Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain(Multi-channel Acoustic Signal Processing)
- Blind Source Separation for Moving Speech Signals Using Blockwise ICA and Residual Crosstalk Subtraction(Speech/Acoustic Signal Processing)(Digital Signal Processing)
- Convolutive blind source separation for more than two sources in the frequency domain
- Evaluation of separation and dereverberation performance in frequency domain blind source separation
- Underdetermined Blind Separation of Convolutive Mixtures of Speech Using Time-Frequency Mask and Mixing Matrix Estimation(Blind Source Separation, Multi-channel Acoustic Signal Processing)
- Sparse source separation based on simultaneous clustering of source locational and spectral features
- Stereophonic acoustic echo cancellation : An overview and recent solutions
- Polar Coordinate Based Nonlinear Function for Frequency-Domain Blind Source Separation