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Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Jean-Philippe Thiran

Tracking vocal tract formant frequencies (

f_p

) and estimating the fundamental frequency (

f_0

) are two tracking problems that have been tackled in many speech processing works, often independently, with applications to articulatory parameters estimation ...

Institute of Electrical and Electronics Engineers2013

Formant

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Learning voice source related information for depression detection

Joint Source-Filter Optimization for Accurate Vocal Tract Estimation Using Differential Evolution

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Multi-parametric source-filter separation of speech and prosodic voice restoration

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

SPARSE NON-NEGATIVE DECOMPOSITION OF SPEECH POWER SPECTRA FOR FORMANT TRACKING

Implementation of VTLN for Statistical Speech Synthesis

Implementation of VTLN for Statistical Speech Synthesis

VTLN Adaptation for Statistical Speech Synthesis

VTLN Adaptation for Statistical Speech Synthesis

Joint Source-Filter Optimization for Accurate Vocal Tract Estimation Using Differential Evolution

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Implementation of VTLN for Statistical Speech Synthesis

Implementation of VTLN for Statistical Speech Synthesis

VTLN Adaptation for Statistical Speech Synthesis

Learning voice source related information for depression detection

Multi-parametric source-filter separation of speech and prosodic voice restoration

SPARSE NON-NEGATIVE DECOMPOSITION OF SPEECH POWER SPECTRA FOR FORMANT TRACKING

VTLN Adaptation for Statistical Speech Synthesis

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking