ASR -Articulatory speech recognition

EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology

Volumn , Issue , 2001, Pages 599-602

  Frankel, Joe ^a   King, Simon ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH COMMUNICATION;

ACOUSTIC DATA; ARTICULATORY FEATURES; CLASSIFICATION AND RECOGNITION; LINEAR DYNAMIC MODEL; SPEECH RECOGNITION SYSTEMS;

SPEECH RECOGNITION;

EID: 58849145971     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Alan A. Wrench, "A new resource for production modelling in speech technology, " in Proc. Workshop on Innovations in Speech Processing, 2001.
2. J Frankel, K Richmond, S King, and P Taylor, "An automatic speech recognition system using neural networks and linear dynamic models to recover and model articulatory traces, " in Proc. ICLSP, 2000.
3. M Ostendorf, V Digalakis, and O Kimball, "From HMMs to segment models: A unified view of stochastic modeling for speech recognition., " IEEE Trans. on Speech and Audio Processing, 1996.
4. G. Papcun, J. Hochberg, T. R. Thomas, F. Laroche, J. Zachs, and S. Levy, "Inferring articulation and recognising gestures from acoustics with a neural network trained on x-ray microbeam data, " J. Acoust. Soc. Am., vol. 92, no. 2, pp. 688-700, August 1992.
5. V. Digilakis, J. Rohlicek, and M. Ostendorf, "ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition, " IEEE Trans. Speech and Audio Processing, vol. 1, no. 4, pp. 431-442, October 1993.
6. A. Robinson, G. Cook, D. Ellis, E. Fosler-Lussier, S. Renals, and D. Williams, "Connectionist speech recognition of broadcast news, " Speech Communication, forthcoming 2001.