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Browsing by Author "Lin, Ting-Han"

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    FFT-BASED SPECTRO-TEMPORAL ANALYSIS AND SYSTNESIS OF SOUNDS
    (2011)
    Hsu, Chung-Chien
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    Lin, Ting-Han
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    Chi, Tai-Shih
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    電機工程學系
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    Department of Electrical and Computer Engineering
    The concept of the two-dimensional spectro-temporal modulation filtering of the auditory model [1] is implemented for the FFT spectrogram. It analyzes the spectrogram in terms of the temporal dynamics and the spectral structures of the sound. The overlap and add (OLA) method, which is more convenient and reliable than the iterative-projection method proposed in [1], is used to invert the FFT spectrogram back to sounds. The Non-Negative Sparse Coding (NNSC) method is adopted to demonstrate the benefit of our analysis-synthesis procedures in a noise suppression application. Even without fine-tuning parameters, our proposed analysis-synthesis procedures offer benefits in de-noising especially under low SNR conditions.
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    Spectro-temporal modulation energy based mask for robust speaker identification
    (2012-05-01)
    Chi, Tai-Shih
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    Lin, Ting-Han
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    Hsu, Chung-Chien
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    電機工程學系
    ;
    Department of Electrical and Computer Engineering
    Spectro-temporal modulations of speech encode speech structures and speaker characteristics. An algorithm which distinguishes speech from non-speech based on spectro-temporal modulation energies is proposed and evaluated in robust text-independent closed-set speaker identification simulations using the TIMIT and GRID corpora. Simulation results show the proposed method produces much higher speaker identification rates in all signal-to-noise ratio (SNR) conditions than the baseline system using mel-frequency cepstral coefficients. In addition, the proposed method also outperforms the system, which uses auditory-based nonnegative tensor cepstral coefficients [Q. Wu and L. Zhang, "Auditory sparse representation for robust speaker recognition based on tensor structure," EURASIP J. Audio, Speech, Music Process. 2008, 578612 (2008)], in low SNR (<= 10 dB) conditions. (C) 2012 Acoustical Society of America