Glottal wave analysis with Pitch Synchronous Iterative Adaptive Inverse Filtering
Speech Communication - Eurospeech '91
Spoken emotion recognition through optimum-path forest classification using glottal features
Computer Speech and Language
Spoken emotion recognition using glottal symmetry
EURASIP Journal on Advances in Signal Processing - Special issue on emotion and mental state recognition from speech
A comparative study of glottal source estimation techniques
Computer Speech and Language
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This paper presents a voice source analysis method by studying the spectral characters of LF model and their representation in output speech signal. The estimation of source features is defined as the set of LF parameter whose spectrum has the most similar characters in frequency domain, including glottal formant and spectral tilt, with the corresponding characters held by the STRAIGHT spectrum of speech signal for analysis. Besides, the concept of analyzable frame is introduced to ensure the feasibility and improve the reliability of proposed method. Evaluation with synthetic speech proves this method is able to estimate the LF parameters with satisfactory precision. Furthermore, the experiment with emotional speech shows the effectiveness of proposed method in describing voice quality variety among speech with different emotions.