Skip to search formSkip to main contentSkip to account menu

Automatic speech recognition

National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
We address the problem of retrieving out-of-vocabulary (OOV) words/queries from audio archives for spoken term detection (STD… 
2008
2008
One key issue in developing learning methods for multilingual acoustic modeling in large vocabulary automatic speech recognition… 
Review
2006
Review
2006
This paper presents an overview of different approaches for providing automatic speech recognition (ASR) technology to mobile… 
2006
2006
Classification accuracy of conventional automatic speech recognition (ASR) systems can decrease dramatically under acoustically… 
2005
2005
A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades Automatic Speech… 
Review
2004
Review
2004
This paper presents a variety of outcomes data from 24 experienced users of automatic speech recognition (ASR) as a means of… 
2004
2004
In this paper we present a dereverberation algorithm for improving automatic speech recognition (ASR) results with minimal CPU… 
2003
2003
Maintaining a high level of robustness for Automatic Speech Recognition (ASR) systems is especially challenging when the… 
2003
2003
Automatic Speech Recognition systems typically use smoothed spectral features as acoustic observations. In recent studies, it has… 
1995
1995
We present an approach to cluster the training data for automatic speech recognition (ASR). A relative-entropy based distance…