Concept

Phonological awareness

Related publications (9)

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

Hervé Bourlard, Afsaneh Asaei, Dhananjay Ram

This paper addresses the problem of detecting speech utterances from a large audio archive using a simple spoken query, hence referring to this problem as "Query by Example Spoken Term Detection" (QbE-STD). This still open pattern matching problem has been ...

2018

Context-aware adaptive spelling in motor imagery BCI

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Objective. This work presents a first motor imagery-based, adaptive brain–computer interface (BCI) speller, which is able to exploit application-derived context for improved, simultaneous classifier adaptation and spelling. Online spelling experiments with ...

Institute of Physics2016

Intact crowding and temporal masking in dyslexia

Michael Herzog, Mauro Manassi

Phonological deficits in dyslexia are well documented. However, there is an ongoing discussion about whether visual deficits limit the reading skills of people with dyslexia. Here, we investigated visual crowding and backward masking. We presented a Vernie ...

Association for Research in Vision and Ophthalmology2015

Joint Phoneme Segmentation Inference and Classification using CRFs

Ronan Collobert, Dimitri Palaz

State-of-the-art phoneme sequence recognition systems are based on hybrid hidden Markov model/artificial neural networks (HMM/ANN) framework. In this framework, the local classifier, ANN, is typically trained using Viterbi expectation-maximization algorith ...

2014

Data-Driven Enhancement of State Mapping-Based Cross-Lingual Speaker Adaptation

Hui Liang

The thesis work was motivated by the goal of developing personalized speech-to-speech translation and focused on one of its key component techniques – cross-lingual speaker adaptation for text-to-speech synthesis. A personalized speech-to-speech translator ...

EPFL2012

Exploiting Contextual Information for Improved Phoneme Recognition

Hynek Hermansky, Joel Praveen Pinto

In this paper, we investigate the significance of contextual information in a phoneme recognition system using the hidden Markov model - artificial neural network paradigm. Contextual information is probed at the feature level as well as at the output of t ...

2008

Exploiting Contextual Information for Improved Phoneme Recognition

Hynek Hermansky, Joel Praveen Pinto

IDIAP2007

Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition

Hervé Bourlard, Samy Bengio

Standard ASR systems typically use phoneme as the subword units. Preliminary studies have shown that the performance of the ASR system could be improved by using grapheme as additional subword units. In this paper, we investigate such a system where the wo ...

2004

Joint Decoding for Phoneme-Grapheme Continuous Speech Recognition

Hervé Bourlard, Samy Bengio

IDIAP2003

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