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Channel selection measures for multi-microphone speech recognition

Autor
Nadeu, C.; Wolf, M.
Tipus d'activitat
Article en revista
Revista
Speech communication
Data de publicació
2014-02-01
Volum
57
Pàgina inicial
170
Pàgina final
180
DOI
https://doi.org/10.1016/j.specom.2013.09.015 Obrir en finestra nova
Projecte finançador
Speech and Audio Recognition for Ambient Intelligence
Repositori
http://hdl.handle.net/2117/21455 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0167639313001362# Obrir en finestra nova
Resum
Automatic speech recognition in a room with distant microphones is strongly affected by noise and reverberation. In scenarios where the speech signal is captured by several arbitrarily located microphones the degree of distortion differs from one channel to another. In this work we deal with measures extracted from a given distorted signal that either estimate its quality or measure how well it fits the acoustic models of the recognition system. We then apply them to solve the problem of selecti...
Citació
Nadeu, C.; Wolf, M. Channel selection measures for multi-microphone speech recognition. "Speech communication", 01 Febrer 2014, vol. 57, p. 170-180.
Paraules clau
Automatic Speech Recognition, Channel (microphone) Selection, Signal Quality, Multi-microphone, Reverberation
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants