Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering
Speech Communication - Eurospeech '91
The SIGMA algorithm: a glottal activity detector for electroglottographic signals
IEEE Transactions on Audio, Speech, and Language Processing
A review of glottal waveform analysis
Progress in nonlinear speech processing
A comparative study of glottal source estimation techniques
Computer Speech and Language
Detection of Glottal Closure Instants From Speech Signals: A Quantitative Review
IEEE Transactions on Audio, Speech, and Language Processing
Phonetic feature extraction for context-sensitive glottal source processing
Speech Communication
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A large part of the research carried out at the Phonetics and Speech Laboratory is concerned with the role of the voice source in the prosody of spoken language, including its linguistic and expressive dimensions. Due to the lack of robustness of automatic voice source analysis methods we have tended to use labour intensive methods which require pulse-by-pulse manual optimisation. This has affected the feasibility of conducting analysis on large volumes of data. To address this, a new method is proposed for automatic parameterisation of the deterministic component of the voice source by simulating the strategies used in the manual optimisation approach. The method involves a combination of exhaustive search, dynamic programming and optimisation methods, with settings derived from analysis of previous manual voice source analysis. A quantitative evaluation demonstrated clearly closer model parameter values to our reference values, compared with a standard time domain-based approach and a phase minimisation method. A complementary qualitative analysis illustrated broadly similar findings, in terms of voice source dynamics in various placements of focus, when using the proposed algorithm compared with a previous study which employed the manual optimisation approach.