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