Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering
Speech Communication - Eurospeech '91
Discrete-Time Signal Processing
Discrete-Time Signal Processing
Chirp group delay analysis of speech signals
Speech Communication
A speech spectrum distortion measure with interframe memory
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Phase-based methods for voice source analysis
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Estimation of Glottal Closure Instants in Voiced Speech Using the DYPSA Algorithm
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing
Complex cepstrum for statistical parametric speech synthesis
Speech Communication
Proceedings of the 15th ACM on International conference on multimodal interaction
Analysis and HMM-based synthesis of hypo and hyperarticulated speech
Computer Speech and Language
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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.