F
F. Itakura
Researcher at Nagoya University
Publications - 8
Citations - 351
F. Itakura is an academic researcher from Nagoya University. The author has contributed to research in topics: Speech enhancement & Microphone array. The author has an hindex of 5, co-authored 8 publications receiving 349 citations.
Papers
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Proceedings ArticleDOI
Evaluation of blind signal separation method using directivity pattern under reverberant conditions
TL;DR: This paper describes a new blind signal separation method using the directivity patterns of a microphone array that improves the SNR of degraded speech by about 16 dB under non-reverberant condition and improves theSNR by 8.7 dB when the reverberation time is 184 ms.
Proceedings ArticleDOI
Interpolating head related transfer functions in the median plane
TL;DR: In this paper, a simple linear interpolation method and spline interpolation methods are evaluated and advantages of both methods clarified, and the results indicate that HRTFs in the median plane can be interpolated by the methods.
Proceedings ArticleDOI
Speech recognition based on space diversity using distributed multi-microphone
TL;DR: The experimental results show that the proposed space diversity speech recognition system can attain about 80% in accuracy, while the performances of conventional HMMs using close-talking microphones are less than 50%, indicating that the space diversity approach is promising for robust speech recognition under a real acoustic environment.
Journal Article
Speech Enhancement Using Nonlinear Microphone Array Based on Complementary Beamforming
TL;DR: In this article, a spatial spectral subtraction method by using the complementary beamforming microphone array to enhance noisy speech signals for speech recognition is described, which is based on two types of beamformers designed to obtain complementary directivity patterns with respect to each other.
Proceedings ArticleDOI
Speech enhancement using nonlinear microphone array with noise adaptive complementary beamforming
TL;DR: An improved complementary beamforming microphone array with a new noise adaptation is described that improves the signal-to-noise ratio of degraded speech by more than 6 dB and performs more than 18% better in word recognition rates when the interfering noise is two speakers.