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2 results on '"Vocal source excitation"'

1. Glottal Flow Synthesis for Whisper-to-Speech Conversion

Author

Ian McLoughlin, Olivier Perrotin, GIPSA - Cognitive Robotics, Interactive Systems, & Speech Processing (GIPSA-CRISSP), GIPSA Pôle Parole et Cognition (GIPSA-PPC), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Université Grenoble Alpes (UGA), University of Kent [Canterbury], This work was supported by the French National Research Agency in the framework of the 'Investissements d’avenir' Programs ANR-15-IDEX-02 and ANR-11-LABX-0025-01, ANR-15-IDEX-0002,UGA,IDEX UGA(2015), and ANR-11-LABX-0025,PERSYVAL-lab,Systemes et Algorithmes Pervasifs au confluent des mondes physique et numérique(2011)

Subjects
Glottis, Acoustics and Ultrasonics, Computer science, Speech recognition, Laryngectomy, Speech synthesis, computer.software_genre, 01 natural sciences, Glottal Flow Model, 030507 speech-language pathology & audiology, 03 medical and health sciences, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0103 physical sciences, Computer Science (miscellaneous), medicine, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], Electrical and Electronic Engineering, 010301 acoustics, Vocal source excitation, Glottal flow, Computational Mathematics, Improved performance, Laryngeal Disorder, medicine.anatomical_structure, Vocal folds, Whisper-to-speech conversion, Voice, 0305 other medical science, computer, Vocal tract
Abstract

International audience; Whisper-to-speech conversion is motivated by laryngeal disorders, in which malfunction of the vocal folds leads to loss of voicing. Many patients with laryngeal disorders can still produce functional whispers, since these are characterised by the absence of vocal fold vibration. Whispers therefore constitute a common ground for speech rehabilitation across many kinds of laryngeal disorder. Whisper-to-speech conversion involves recreating natural-sounding speech from recorded whispers, and is a non-invasive and non-surgical rehabilitation that can maintain a natural method of speaking, unlike the existing methods of rehabilitation. This paper proposes a new rule-based method for whisper-to-speech conversion that replaces the noisy whisper sound source with a synthesised speech-like harmonic source, while maintaining the vocal tract component unaltered. In particular, a novel glottal source generator is developed in which whisper information is used to parameterise the excitation through a high-quality glottis model. Evaluation of the system against the standard pulse train excitation method reveals significantly improved performance. Since our method is glottis-based, it is potentially compatible with the many existing vocal tract component adaptation systems.

Published
2020
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2. Characterization of atypical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility

Author

Falk, Tiago H., Chan, Wai-Yip, and Shein, Fraser

Subjects
*INTELLIGIBILITY of speech, *ARTICULATION disorders, *PREDICTION models, *BIOENERGETICS, *STATISTICAL correlation, *PARAMETER estimation
Abstract

Abstract: Objective measurement of dysarthric speech intelligibility can assist clinicians in the diagnosis of speech disorder severity as well as in the evaluation of dysarthria treatments. In this paper, several objective measures are proposed and tested as correlates of subjective intelligibility. More specifically, the kurtosis of the linear prediction residual is proposed as a measure of vocal source excitation oddity. Additionally, temporal perturbations resultant from imprecise articulation and atypical speech rates are characterized by short- and long-term temporal dynamics measures, which in turn, are based on log-energy dynamics and on an auditory-inspired modulation spectral signal representation, respectively. Motivated by recent insights in the communication disorders literature, a composite measure is developed based on linearly combining a salient subset of the proposed measures with conventional prosodic parameters. Experiments with the publicly-available ‘Universal Access’ database of spastic dysarthric speech (10 patient speakers; 300 words spoken in isolation, per speaker) show that the proposed composite measure can achieve correlation with subjective intelligibility ratings as high as 0.97; thus the measure can serve as an accurate indicator of dysarthric speech intelligibility. [Copyright &y& Elsevier]

Published
2012
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