Publications by Ina Kodrasi | EPFL Graph Search

Adversarial-Free Speaker Identity-Invariant Representation Learning for Automatic Dysarthric Speech Classification

Speech representations which are robust to pathology-unrelated cues such as speaker identity information have been shown to be advantageous for automatic dysarthric speech classification. A recently proposed technique to learn speaker identity-invariant re ...

ISCA-INT SPEECH COMMUNICATION ASSOC2022

Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-Based Convolutional Neural Networks

Hervé Bourlard, Parvaneh Janbakhshi, Ina Kodrasi

Automatic dysarthric speech detection can provide reliable and cost-effective computer-aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we propose a novel automatic dysarthric speech detection approach based on analy ...

IEEE2021

Subspace-Based Learning for Automatic Dysarthric Speech Detection

Hervé Bourlard, Parvaneh Janbakhshi, Ina Kodrasi

To assist the clinical diagnosis and treatment of speech dysarthria, automatic dysarthric speech detection techniques providing reliable and cost-effective assessment are indispensable. Based on clinical evidence on spectro-temporal distortions associated ...

IEEE Institute of Electrical and Electronics Engineers2021

Automatic and perceptual discrimination between dysarthria, apraxia of speech, and neurotypical speech

Hervé Bourlard, Ina Kodrasi

IEEE Signal Processing Society2021

Automatic Pathological Speech Intelligibility Assessment Exploiting Subspace-Based Analyses

Hervé Bourlard, Parvaneh Janbakhshi, Ina Kodrasi

Competitive state-of-the-art automatic pathological speech intelligibility measures typically rely on regression training on a large number of features, require a large amount of healthy speech training data, or are applicable only to phonetically balanced ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Synthetic Speech References for Automatic Pathological Speech Intelligibility Assessment

Hervé Bourlard, Parvaneh Janbakhshi, Ina Kodrasi

Automatic pathological speech intelligibility measures are crucial to assist the clinical diagnosis and treatment of speech disorders. The recently proposed pathological short-time objective intelligibility (P-ESTOI) measure was shown to be very advantageo ...

IEEE2020

Spectro-temporal sparsity characterization for dysarthric speech detection

Hervé Bourlard, Ina Kodrasi

IEEE2020

Automatic Discrimination of Apraxia of Speech and Dysarthria using a Minimalistic Set of Handcrafted Features

Hervé Bourlard, Ina Kodrasi

ISCA2020

Experimental evaluation of speech enhancement methods in remote microphone systems for hearing aids

Hervé Lissek, Gilles André Courtois, Vincent Pierre Olivier Grimaldi, Ina Kodrasi

Enhancing speech intelligibility for hearing-impaired subjects in complex acoustic conditions is still a challenging topic of research. To mitigate the detrimental effects of background noise and reverberation, current hearing instruments incorporate vario ...

European Acoustics Association2018

Analysis of Eigenvalue Decomposition-Based Late Reverberation Power Spectral Density Estimation

Ina Kodrasi

2018

Improving the conditioning of the optimization criterion in acoustic multi-channel equalization using shorter reshaping filters

Ina Kodrasi

2018