An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces

J. Frankel; K. Richmond; S. King; Paul Taylor

An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces

J. Frankel, K. Richmond, S. King, Paul Taylor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we describe a speech recognition system using linear dynamic models and articulatory features. Experiments are reported in which measured articulation from the MOCHA corpus has been used, along with those where the articulatory parameters are estimated from the speech signal using a recurrent neural network.

Original language	English
Title of host publication	Sixth International Conference on Spoken Language Processing (ICSLP 2000)
Publisher	International Speech Communication Association
Pages	254-257
Number of pages	4
ISBN (Print)	ISSN: 1990-9772
Publication status	Published - Oct 2000

ROPA: SPEECH RECOGNITION
King, S.
EPSRC
1/10/99 → 31/01/02
Project: Research

Cite this

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title = "An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces",

abstract = "In this paper we describe a speech recognition system using linear dynamic models and articulatory features. Experiments are reported in which measured articulation from the MOCHA corpus has been used, along with those where the articulatory parameters are estimated from the speech signal using a recurrent neural network.",

author = "J. Frankel and K. Richmond and S. King and Paul Taylor",

note = "ISSN: 1990-9772",

year = "2000",

month = oct,

language = "English",

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pages = "254--257",

booktitle = "Sixth International Conference on Spoken Language Processing (ICSLP 2000)",

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An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces. / Frankel, J.; Richmond, K.; King, S. et al.
Sixth International Conference on Spoken Language Processing (ICSLP 2000). International Speech Communication Association, 2000. p. 254-257.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces

AU - Frankel, J.

AU - Richmond, K.

AU - King, S.

AU - Taylor, Paul

N1 - ISSN: 1990-9772

PY - 2000/10

Y1 - 2000/10

N2 - In this paper we describe a speech recognition system using linear dynamic models and articulatory features. Experiments are reported in which measured articulation from the MOCHA corpus has been used, along with those where the articulatory parameters are estimated from the speech signal using a recurrent neural network.

AB - In this paper we describe a speech recognition system using linear dynamic models and articulatory features. Experiments are reported in which measured articulation from the MOCHA corpus has been used, along with those where the articulatory parameters are estimated from the speech signal using a recurrent neural network.

M3 - Conference contribution

SN - ISSN: 1990-9772

SP - 254

EP - 257

BT - Sixth International Conference on Spoken Language Processing (ICSLP 2000)

PB - International Speech Communication Association

ER -

An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces

Abstract

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ROPA: SPEECH RECOGNITION

Cite this