Browsing by Author "Chou, Wen-Sheng"

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A BINAURAL ALGORITHM FOR SPACE AND PITCH DETECTION
(2011)
Chou, Wen-Sheng
;
Cheong, Kah-Meng
;
Chi, Tai-Shih
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電機工程學系
;
Department of Electrical and Computer Engineering
A binaural algorithm to simultaneously detect the azimuth angle and the pitch of the sound source is proposed in this paper. This algorithm is extended from the stereausis model with two-dimensional coincidence detectors in the joint Space-Pitch domain. In our simulations, sounds from different locations are produced by passing through the Head-Related-Transfer-Function (HRTF). Simulation results show that estimated azimuth angles from our proposed algorithm are more accurate than those from the stereausis model in the single sound source testing condition. Satisfactory results in streaming sound sources from the two-sound mixture by using estimated Space-Pitch information are also demonstrated in our pilot experiments.
A frequency bin-wise nonlinear masking algorithm in convolutive mixtures for speech segregation
(2012-05-01)
Chi, Tai-Shih
;
Huang, Ching-Wen
;
Chou, Wen-Sheng
;
電機工程學系
;
Department of Electrical and Computer Engineering
A frequency bin-wise nonlinear masking algorithm is proposed in the spectrogram domain for speech segregation in convolutive mixtures. The contributive weight from each speech source to a time-frequency unit of the mixture spectrogram is estimated by a nonlinear function based on location cues. For each sound source, a non-binary mask is formed from the estimated weights and is multiplied to the mixture spectrogram to extract the sound. Head-related transfer functions (HRTFs) are used to simulate convolutive sound mixtures perceived by listeners. Simulation results show our proposed method outperforms convolutive independent component analysis and degenerate unmixing and estimation technique methods in almost all test conditions. (C) 2012 Acoustical Society of America
A precedence effect based far-field DoA estimation algorithm
(2013)
Chou, Wen-Sheng
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Chi, Tai-Shih
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電機資訊學士班
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Undergraduate Honors Program of Electrical Engineering and Computer Science
A robust far-field DOA estimation algorithm is proposed in this paper. The algorithm is inspired by the precedence effect which results in humans robust capability in localizing sound sources. The algorithm implements the concept of the precedence effect by applying a proper threshold and an onset detection mechanism in the cross-correlation domain. Experiment results show that by cascading the proposed algorithm to a conventional cross-correlation based DoA algorithm, the accuracy of the DoA estimation is significantly improved in far-field test conditions.
SPATIAL-CUE-BASED MULTI-BAND BINAURAL NOISE REDUCTION FOR HEARING AIDS
(2013)
Yang, Cheng-Yen
;
Chou, Wen-Sheng
;
Chang, Kuo-Chiang
;
Liu, Chih-Wei
;
Chi, Tai-Shih
A noise reduction algorithm for binaural hearing aids is proposed in this paper. The proposed algorithm suppresses the directional interferences and diffuse noise using the interaural time difference (ITD), interaural level difference (ILD) and interaural coherence cues via the time-frequency (T-F) masking process. Furthermore, the proposed algorithm is evaluated under different specifications of ANSI-like filter banks for comprehending dominant factors in boosting the de-noise performance. Experimental results suggest that a higher resolution in low frequencies (approximately less than 1000 Hz) and a higher overlapping ratio of the filters are beneficial to de-noise performance in terms of sound quality.