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

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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

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

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A Lattice Reduction-Aided MIMO Channel Equalizer in 90 nm CMOS Achieving 720 Mb/s

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

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

Distributed Compressed Representation of Correlated Image Sets

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

Progress report of a project in very low bit-rate speech coding

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

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

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

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

Distributed Compressed Representation of Correlated Image Sets

Progress report of a project in very low bit-rate speech coding

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

A Lattice Reduction-Aided MIMO Channel Equalizer in 90 nm CMOS Achieving 720 Mb/s

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Multi-party Speech Recovery Exploiting Structured Sparsity Models

Multi-party Speech Recovery Exploiting Structured Sparsity Models