کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
568714 876448 2011 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Causal–anticausal decomposition of speech using complex cepstrum for glottal source estimation
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Causal–anticausal decomposition of speech using complex cepstrum for glottal source estimation
چکیده انگلیسی

Complex cepstrum is known in the literature for linearly separating causal and anticausal components. Relying on advances achieved by the Zeros of the Z-Transform (ZZT) technique, we here investigate the possibility of using complex cepstrum for glottal flow estimation on a large-scale database. Via a systematic study of the windowing effects on the deconvolution quality, we show that the complex cepstrum causal–anticausal decomposition can be effectively used for glottal flow estimation when specific windowing criteria are met. It is also shown that this complex cepstral decomposition gives similar glottal estimates as obtained with the ZZT method. However, as complex cepstrum uses FFT operations instead of requiring the factoring of high-degree polynomials, the method benefits from a much higher speed. Finally in our tests on a large corpus of real expressive speech, we show that the proposed method has the potential to be used for voice quality analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Speech Communication - Volume 53, Issue 6, July 2011, Pages 855–866
نویسندگان
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