Publications associées à Phonological rule

Cellulan World: Interactive Platform to Learn Swarm Behaviors

Pierre Dillenbourg, Barbara Bruno, Hala Khodr, Aditi Kothiyal

Swarming behaviors are ubiquitous in nature, and an important topic to teach and learn. In the learning sciences domain of complex systems understanding, studies have shown that novices tend to assume that centralized control and leadership should exist wh ...

IFAAMAS2022

Perceptual Information Loss due to Impaired Speech Production

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

Phonological classes define articulatory-free and articulatory-bound phone attributes. Deep neural network is used to estimate the probability of phonological classes from the speech signal. In theory, a unique combination of phone attributes form a phonem ...

2017

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

The speech signal conveys information on different time scales from short (20–40 ms) time scale or segmental, associated to phonological and phonetic information to long (150–250 ms) time scale or supra segmental, associated to syllabic and prosodic inform ...

Idiap2016

Sound Pattern Matching for Automatic Prosodic Event Detection

Hervé Bourlard, Philip Neil Garner, Milos Cernak, Afsaneh Asaei, Pierre-Edouard Jean Charles Honnet

Prosody in speech is manifested by variations of loudness, exaggeration of pitch, and specific phonetic variations of prosodic segments. For example, in the stressed and unstressed syllables, there are differences in place or manner of articulation, vowels ...

Idiap2016

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

The speech signal conveys information on different time scales from short (20--40 ms) time scale or segmental, associated to phonological and phonetic information to long (150--250 ms) time scale or supra segmental, associated to syllabic and prosodic info ...

Elsevier2016

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

2016

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

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

Phonological features extracted by neural network have shown interesting potential for low bit rate speech vocoding. The span of phonological features is wider than the span of phonetic features, and thus fewer frames need to be transmitted. Moreover, the ...

2015

BOLD correlates of EEG topography reveal rapid resting-state network dynamics

Dimitri Nestor Alice Van De Ville

Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10 s. Spatial analyses of the topography of the spontaneou ...

Elsevier2010

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Phonological rule

Cellulan World: Interactive Platform to Learn Swarm Behaviors

Perceptual Information Loss due to Impaired Speech Production

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Sound Pattern Matching for Automatic Prosodic Event Detection

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Speech vocoding for laboratory phonology

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

A 3-D Audio-Visual Corpus of Affective Communication

BOLD correlates of EEG topography reveal rapid resting-state network dynamics

Graph Chatbot

Chattez avec Graph Search

Cellulan World: Interactive Platform to Learn Swarm Behaviors

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Sound Pattern Matching for Automatic Prosodic Event Detection

Speech vocoding for laboratory phonology

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

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

A 3-D Audio-Visual Corpus of Affective Communication

BOLD correlates of EEG topography reveal rapid resting-state network dynamics