Publication

IMPROVING MICROPHONE ARRAY SPEECH RECOGNITION WITH COCHLEAR IMPLANT-LIKE SPECTRALLY REDUCED SPEECH

Philip Neil Garner, Mohammadjavad Taghizadeh
2011
Report or working paper
Abstract

Cochlear implant-like spectrally reduced speech (SRS) has previously been shown to afford robustness to additive noise. In this paper, it is evaluated in the context of microphone array based automatic speech recognition (ASR). It is compared to and combined with post-filter and cepstral normalisation techniques. When there is no overlapping speech, the combination of cepstral normalization and the SRS-based ASR framework gives a performance comparable with the best obtained with a non-SRS baseline system, using maximum a posteriori (MAP) adaptation, either on microphone array signal or lapel microphone signal. When there is overlapping speech from competing speakers, the same combination gives significantly better word error rates compared to the best ones obtained with the previously published baseline system. Experiments are performed with the MONC database and HTK toolkit.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.