Channel selection measures for multi-microphone speech recognition
Visualitza/Obre
Channel selection measures for multi-microphone speech recognition (396,6Kb) (Accés restringit)
Sol·licita una còpia a l'autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
10.1016/j.specom.2013.09.015
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/21455
Tipus de documentArticle
Data publicació2014-02-01
Condicions d'accésAccés restringit per política de l'editorial
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
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 selecting the signal (i.e. the channel) that presumably leads to the lowest recognition error rate. New channel selection techniques are presented, and compared experimentally in reverberant environments with other approaches reported in the literature. Significant improvements in recognition rate are observed for most of the measures. A new measure based on the variance of the speech intensity envelope shows a good trade-off between recognition accuracy, latency and computational cost. Also, the combination of measures allows a further improvement in recognition rate.
CitacióNadeu, C.; Wolf, M. Channel selection measures for multi-microphone speech recognition. "Speech communication", 01 Febrer 2014, vol. 57, p. 170-180.
ISSN0167-6393
Versió de l'editorhttp://www.sciencedirect.com/science/article/pii/S0167639313001362#
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Channel selecti ... one speech recognition.pdf | Channel selection measures for multi-microphone speech recognition | 396,6Kb | Accés restringit |