Concept

Perception de la parole

Publications associées (509)

Word pair classification during imagined speech using direct brain recordings

José del Rocio Millán Ruiz, Inaki Asier Iturrate Gil, Stéphanie Martin

People that cannot communicate due to neurological disorders would benefit from an internal speech decoder. Here, we showed the ability to classify individual words during imagined speech from electrocorticographic signals. In a word imagery task, we used ...

Nature Publishing Group2016

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

Milos Cernak, Afsaneh Asaei

Progressive apraxia of Speech (PAoS) is a progressive motor speech disorder associated with neurodegenerative disease causing impairment of phonetic encoding and motor speech planning. Clinical observation and acoustic studies show that duration analysis p ...

2016

Learning Multimodal Temporal Representation for Dubbing Detection in Broadcast Media

Jean-Marc Odobez

Person discovery in the absence of prior identity knowledge requires accurate association of visual and auditory cues. In broadcast data, multimodal analysis faces additional challenges due to narrated voices over muted scenes or dubbing in different langu ...

ACM2016

Design of a Speech Corpus for Research on Cross-Lingual Prosody Transfer

Philip Neil Garner

Since the prosody of a spoken utterance carries information about its discourse function, salience, and speaker attitude, prosody mod- els and prosody generation modules have played a crucial part in text-to- speech (TTS) synthesis systems from the beginni ...

2016

Cognetics: Robotic Interfaces for the Conscious Mind

Olaf Blanke, Giulio Rognini

Cognetics joins the cognitive neuroscience of bodily awareness with robotics to study, control, and enhance perception, cognition, and consciousness. We highlight robot-controlled bodily perception, conscious states, and social interactions and sketch how ...

Elsevier2016

Articulatory feature based continuous speech recognition using probabilistic lexical modeling

Ramya Rasipuram

Phonological studies suggest that the typical subword units such as phones or phonemes used in automatic speech recognition systems can be decomposed into a set of features based on the articulators used to produce the sound. Most of the current approaches ...

Elsevier2016

Hyper-specificity of perceptual learning

Lukasz Grzeczkowski

Perceptual learning is the ability to improve perception through practice. Perceptual learning is usually specific for the task and the stimulus features trained with. For example, training orientation discrimination with vertically oriented stimuli does n ...

EPFL2016

HMM-based Non-native Accent Assessment using Posterior Features

Milos Cernak, Ramya Rasipuram

Automatic non-native accent assessment has potential benefits in language learning and speech technologies. The three fundamental challenges in automatic accent assessment are to characterize, model and assess individual variation in speech of the non-nati ...

2016

Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition

Hervé Bourlard, Afsaneh Asaei, Pranay Dighe

In this paper, a compressive sensing (CS) perspective to exemplar-based speech processing is proposed. Relying on an analytical relationship between CS formulation and statistical speech recognition (Hidden Markov Models HMM), the automatic speech recognit ...

2016

Changing motor perception by sensorimotor conflicts and body ownership

Olaf Blanke, Roy Salomon, Michiel van Elk, Joan Llobera Mahy, Natalia Fernandez

Experimentally induced sensorimotor conflicts can result in a loss of the feeling of control over a movement (sense of agency). These findings are typically interpreted in terms of a forward model in which the predicted sensory consequences of the movement ...

Nature Publishing Group2016

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