Person
Ina Kodrasi
Related publications (9)
Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-Based Convolutional Neural Networks
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
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 ...
IEEE2021Subspace-Based Learning for Automatic Dysarthric Speech Detection
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
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-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
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 ...
Idiap2020Automatic Pathological Speech Intelligibility Assessment Exploiting Subspace-Based Analyses
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
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 INC2020Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
Speech intelligibility is an important assessment criterion of the communicative performance of pathological speakers. To assist clinicians in their assessment, time- and cost-efficient automatic intelligibility measures offering a repeatable and reliable ...
2019PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT BASED ON THE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
Impaired speech intelligibility in motor speech disorders arising
due to neurological diseases negatively affects the communication
ability and quality of life of patients. Reliable and cost-effective
measures to automatically assess speec ...
2019Pathological Speech Intelligibility Assessment based on the Short-Time Objective Intelligibility Measure
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
Impaired speech intelligibility in motor speech disorders arising
due to neurological diseases negatively affects the communication
ability and quality of life of patients. Reliable and cost-effective
measures to automatically assess speech intelligibility ...
IEEE2019Joint estimation of RETF vector and power spectral densities for speech enhancement based on alternating least squares
The multi-channel Wiener filter (MWF) is a well-known multi-microphone speech enhancement technique, aiming at improving the quality of the recorded speech signals in noisy and reverberant environments. Assuming that reverberation and ambient noise can be ...
2019Experimental evaluation of speech enhancement methods in remote microphone systems for hearing aids
Hervé Lissek, Ina Kodrasi, Gilles André Courtois, Vincent Pierre Olivier Grimaldi
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