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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

Vocodeur

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On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Speech vocoding for laboratory phonology

ECMA-407: A New 3D audio codec implementation up to NHK 22.2

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

Convolutional Pitch Target Approximation Model for Speech Synthesis

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

Robust Log-Energy Estimation and its Dynamic Change Enhancement for In-car Speech Recognition

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

Privacy-Sensitive Audio Features for Speech/Nonspeech Detection

Error Resilient Speech Coding Using Sub-band Hilbert Envelopes

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Speech vocoding for laboratory phonology

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

Robust Log-Energy Estimation and its Dynamic Change Enhancement for In-car Speech Recognition

ECMA-407: A New 3D audio codec implementation up to NHK 22.2

Privacy-Sensitive Audio Features for Speech/Nonspeech Detection

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

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

Convolutional Pitch Target Approximation Model for Speech Synthesis

Error Resilient Speech Coding Using Sub-band Hilbert Envelopes