Open quotient measurements based on multiscale product of speech signal wavelet transform
Research Letters in Signal Processing
Reverberant speech enhancement by temporal and spectral processing
IEEE Transactions on Audio, Speech, and Language Processing
The SIGMA algorithm: a glottal activity detector for electroglottographic signals
IEEE Transactions on Audio, Speech, and Language Processing
Exploiting nonlinearity in adaptive signal processing
NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing
Spoken emotion recognition using glottal symmetry
EURASIP Journal on Advances in Signal Processing - Special issue on emotion and mental state recognition from speech
Effectiveness of Teager energy operator for epoch detection from speech signals
International Journal of Speech Technology
Data-driven voice source waveform analysis and synthesis
Speech Communication
Investigating acoustic cues in automatic detection of learners' emotion from auto tutor
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Investigating glottal parameters and teager energy operators in emotion recognition
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Speaker verification using excitation source information
International Journal of Speech Technology
Evaluation of glottal closure instant detection in a range of voice qualities
Speech Communication
Expressive speech synthesis: a review
International Journal of Speech Technology
Quasi Closed Phase Glottal Inverse Filtering Analysis With Weighted Linear Prediction
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis
Journal of Signal Processing Systems
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We present the Dynamic Programming Projected Phase-Slope Algorithm (DYPSA) for automatic estimation of glottal closure instants (GCIs) in voiced speech. Accurate estimation of GCIs is an important tool that can be applied to a wide range of speech processing tasks including speech analysis, synthesis and coding. DYPSA is automatic and operates using the speech signal alone without the need for an EGG signal. The algorithm employs the phase-slope function and a novel phase-slope projection technique for estimating GCI candidates from the speech signal. The most likely candidates are then selected using a dynamic programming technique to minimize a cost function that we define. We review and evaluate three existing methods of GCI estimation and compare the new DYPSA algorithm to them. Results are presented for the APLAWD and SAM databases for which 95.7% and 93.1% of GCIs are correctly identified