Concept

Time delay neural network

Related publications (143)

Improving non-native ASR through stochastic multilingual phoneme space transformations

Hervé Bourlard, Philip Neil Garner, John David Scott Dines, David Imseng

We propose a stochastic phoneme space transformation technique that allows the conversion of conditional source phoneme posterior probabilities (conditioned on the acoustics) into target phoneme posterior probabilities. The source and target phonemes can b ...

Idiap2011

Phoneme Recognition using Boosted Binary Features

Sébastien Marcel, Anindya Roy

In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such classifier looks at a specific pair of time-frequency bins located on the spectr ...

2011

Kohonen Winner Takes All Neural Network Realized on Microcontrollers with AVR and ARM Cores

Rafal Tomasz Dlugosz

This paper presents realization and the laboratory tests of the Kohonen winner takes all (WTA) neural network (NN) realized on microcontrollers (μC) with the AVR and ARM CortexM3 cores. Both μCs have been placed on a single testing board especially designe ...

Technical University of Lodz2010

Multilayer Perceptron Based Hierarchical Acoustic Modeling for Automatic Speech Recognition

Joel Praveen Pinto

In this thesis, we investigate a hierarchical approach for estimating the phonetic class-conditional probabilities using a multilayer perceptron (MLP) neural network. The architecture consists of two MLP classifiers in cascade. The first MLP is trained in ...

EPFL2010

Analysis of MLP Based Hierarchical Phoneme Posterior Probability Estimator

Hervé Bourlard, Hynek Hermansky, Joel Praveen Pinto

We analyze a simple hierarchical architecture consisting of two multilayer perceptron (MLP) classifiers in tandem to estimate the phonetic class conditional probabilities. In this hierarchical setup, the first MLP classifier is trained using standard acous ...

2010

Multiple source multiple destination topology inference using network coding

Christina Fragouli

n this paper, we combine network cod- ing and tomographic techniques for topology infer- ence. Our goal is to infer the topology of a network by sending probes between a given set of multiple sources and multiple receivers and by having interme- diate node ...

2009

A Data-driven Approach to Speech/Non-speech Detection

Hynek Hermansky, Sree Hari Krishnan Parthasarathi

We present a data-driven approach to weighting the temporal context of signal energy to be used in a simple speech/non-speech detector (SND). The optimal weights are obtained using linear discriminant analysis (LDA). Regularization is performed to handle n ...

IDIAP2008

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

Hierarchical Integration of Phonetic and Lexical Knowledge in Phone Posterior Estimation

Hervé Bourlard, Hamed Ketabdar

Phone posteriors has recently quite often used (as additional features or as local scores) to improve state-of-the-art automatic speech recognition (ASR) systems. Usually, better phone posterior estimates yield better ASR performance. In the present paper ...

2008

Exploiting Contextual Information for Improved Phoneme Recognition

Hynek Hermansky, Joel Praveen Pinto

IDIAP2007

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