Concept

Phone (phonetics)

Related publications (23)

Novel Methods For Detection And Analysis Of Atypical Aspects In Speech

Atypical aspects in speech concern speech that deviates from what is commonly considered normal or healthy. In this thesis, we propose novel methods for detection and analysis of these aspects, e.g. to monitor the temporary state of a speaker, diseases tha ...

EPFL2023

Tampered Speaker Inconsistency Detection with Phonetically Aware Audio-visual Features

Sébastien Marcel

The recent increase in social media based propaganda, i.e., ‘fake news’, calls for automated methods to detect tampered content. In this paper, we focus on detecting tampering in a video with a person speaking to a camera. This form of manipulation is easy ...

2019

SPOKEN LANGUAGE IDENTIFICATION USING LANGUAGE BOTTLENECK FEATURES

Petr Motlicek, Wissem Allouchi

In this paper, we introduce a novel approach for Language Identification (LID). Two commonly used state-of-the-art methods based on UBM/GMM I-vector technique, combined with a back-end classifier, are first evaluated. The differential factor between these ...

Idiap2019

Phonetic aware techniques for Speaker Verification

Subhadeep Dey

The goal of this thesis is to improve current state-of-the-art techniques in speaker verification (SV), typically based on âidentity-vectorsâ (i-vectors) and deep neural network (DNN), by exploiting diverse (phonetic) information extracted using variou ...

EPFL2018

End-to-end text-dependent speaker verification using novel distance measures

Petr Motlicek, Subhadeep Dey

This paper explores novel ideas in building end-to-end deep neural network (DNN) based text-dependent speaker verification (SV) system. The baseline approach consists of mapping a variable length speech segment to a fixed dimensional speaker vector by esti ...

2018

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

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

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

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

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