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Speech recognition in a noisy car environment based on LP of the one-sided autocorrelation sequence and robust similarity measuring techniques

Autor
Hernando, J.; Nadeu, C.; Mariño, J.B.
Tipus d'activitat
Article en revista
Revista
Speech communication
Data de publicació
1997-02
Volum
21
Número
1-2
Pàgina inicial
17
Pàgina final
31
DOI
https://doi.org/10.1016/S0167-6393(96)00074-X Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/97885 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S016763939600074X Obrir en finestra nova
Resum
The performance of the existing speech recognition systems degrades rapidly in the presence of background noise. A novel representation of the speech signal, which is based on Linear Prediction of the One-Sided Autocorrelation sequence (OSALPC), has shown to be attractive for noisy speech recognition because of both its high recognition performance with respect to the conventional LPC in severe conditions of additive white noise and its computational simplicity. The aim of this work is twofold: ...
Citació
Hernando, J., Nadeu, C., Mariño, J.B. Speech recognition in a noisy car environment based on LP of the one-sided autocorrelation sequence and robust similarity measuring techniques. "Speech communication", Febrer 1997, vol. 21, núm. 1-2, p. 17-31.
Paraules clau
Speech Recognition, Noise Robustness, Feature Extraction, Spectral Analysis Of Speech, Distortion Measures, Vector Quantization
Grup de recerca
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants