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Publications associées (11)

Adjustable deterministic pseudonymization of speech

Mathew Magimai Doss, Subrahmanya Pavankumar Dubagunta

While public speech resources become increasingly available, there is a growing interest to preserve the privacy of the speakers, through methods that anonymize the speaker information from speech while preserving the spoken linguistic content. In this pap ...

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2022

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

Julian David Fritsch

Matching of a test signal to a reference word hypothesis forms the core of many speech processing problems, including objective speech intelligibility assessment. This paper first shows that the comparison of two speech signals can be formulated as matchin ...

Idiap2021

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal

Selen Hande Kabil, Subrahmanya Pavankumar Dubagunta

Children speech recognition based on short-term spectral features is a challenging task. One of the reasons is that children speech has high fundamental frequency that is comparable to formant frequency values. Furthermore, as children grow, their vocal ap ...

IEEE2019

Combining the SNR Spectrum with a Cochlear Model

Philip Neil Garner

The SNR spectrum was previously introduced as a natural consequence of using cepstral normalisa- tion in speech recognition; it is closely related to the articulation index of Fletcher. Motivated initially by a theoretical difficulty in frequency warping, ...

Idiap2018

On Learning Vocal Tract System Related Speaker Discriminative Information from Raw Signal Using CNNs

Sébastien Marcel, Hannah Muckenhirn

In a recent work, we have shown that speaker verification systems can be built where both features and classifiers are directly learned from the raw speech signal with convolutional neural networks (CNNs). In this framework, the training phase also decides ...

ISCA-INT SPEECH COMMUNICATION ASSOC2018

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

Sound Pattern Matching for Automatic Prosodic Event Detection

Hervé Bourlard, Philip Neil Garner, Milos Cernak, Afsaneh Asaei, Pierre-Edouard Jean Charles Honnet

Prosody in speech is manifested by variations of loudness, exaggeration of pitch, and specific phonetic variations of prosodic segments. For example, in the stressed and unstressed syllables, there are differences in place or manner of articulation, vowels ...

Idiap2016

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

Multi-resolution Spectral Entropy Based Feature for Robust ASR

Hervé Bourlard, Hemant Misra, Shajith Ikbal

Recently, entropy measures at different stages of recognition have been used in automatic speech recognition (ASR) task. In a recent paper, we proposed that formant positions of a spectrum can be captured by multi-resolution spectral entropy feature. In th ...

2005

Multi-resolution Spectral Entropy Based Feature for Robust ASR

Hervé Bourlard, Hemant Misra, Shajith Ikbal

IDIAP2004

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