Publication

Probabilistic Symbol Sequence Matching and its Application to Pathological Speech Intelligibility Assessment

Related publications (75)

Pathological 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 ...

IEEE2019

Building Blocks of Assistant Based Speech Recognition for Air Traffic Management Applications

Petr Motlicek, Mittul Singh

In air traffic control rooms around the world paper flight strips are replaced through different digital solutions. This enables other systems to access the instructed air traffic controller (ATCo) commands and use them for other purposes. Digital flight s ...

SESARJU2018

Predicting Group Performance in Task-Based Interaction

Catharine Regina Monika Maria Oertel Genannt Bierbach

We address the problem of automatically predicting group performance on a task, using multimodal features derived from the group conversation. These include acoustic features extracted from the speech signal, and linguistic features derived from the conver ...

ASSOC COMPUTING MACHINERY2018

Understanding and Decoding Imagined Speech using Electrocorticographic Recordings in Humans

Stéphanie Martin

Certain brain disorders, resulting from brainstem infarcts, traumatic brain injury, stroke and amyotrophic lateral sclerosis, limit verbal communication despite the patient being fully aware. People that cannot communicate due to neurological disorders wou ...

EPFL2017

Intonation Modelling for Speech Synthesis and Emphasis Preservation

Pierre-Edouard Jean Charles Honnet

Speech-to-speech translation is a framework which recognises speech in an input language, translates it to a target language and synthesises speech in this target language. In such a system, variations in the speech signal which are inherent to natural hum ...

EPFL2017

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

From Research to Reality: Evaluation of a Single-Computer Real-Time LVCSR System for Speech-Based Retrieval

Philip Neil Garner, Andrei Popescu-Belis, Nan Li, Maryam Habibi

This paper presents a series of tests that were performed on a state-of-the-art real-time automatic speech recognition system for English, in a single-computer implementation. As the intention is to use the system for speech-based query-free document retri ...

Idiap2017

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features

Milos Cernak

Change in voice quality (VQ) is one of the first precursors of Parkinson's disease (PD). Specifically, impacted phonation and articulation causes the patient to have a breathy, husky-semiwhisper and hoarse voice. A goal of this paper is to characterize a V ...

Idiap2017

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

"Can you hear me now?"

Raphaël Marc Ullmann

This thesis deals with signal-based methods that predict how listeners perceive speech quality in telecommunications. Such tools, called objective quality measures, are of great interest in the telecommunications industry to evaluate how new or deployed sy ...

EPFL2016

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