Publications associées à PAoS Markers: Trajectory Analysis of Selective Phonological Posteriors for Assessment of Progressive Apraxia of Speech

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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

PAoS Markers: Trajectory Analysis of Selective Phonological Posteriors for Assessment of Progressive Apraxia of Speech

Graph Chatbot

Chattez avec Graph Search

Ethnography of a political ritual: speeches given to new Swiss citizens by representatives of the state

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Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences

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

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Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

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

Who Wants To Be A Millionaire? (II)

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

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

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

Ethnography of a political ritual: speeches given to new Swiss citizens by representatives of the state

Overlapping speech detection using long-term conversational features for speaker diarization in meeting room conversations

Who Wants To Be A Millionaire? (II)

Objective Speech Intelligibility Assessment through Comparison of Phoneme Class Conditional Probability Sequences

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation

Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition

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

Crosslingual Tandem-SGMM: Exploiting Out-Of-Language Data for Acoustic Model and Feature Level Adaptation