OBJECTIVES The purpose of this study was to determine the effect of measurement time of day on speech recognition in noise and the extent to which time-of-day effects differ with age. Older adults tend to have more difficulty understanding speech in noise than younger adults, even when hearing is normal. Two possible contributors to this age difference in speech recognition may be measurement t...

A challenging, unsolved problem in the speech recognition community is recognizing speech signals that are corrupted by loud, highly nonstationary noise. One approach to noisy speech recognition is to automatically remove the noise from the cepstrum sequence before feeding it in to a clean speech recognizer. In previous work published in Eurospeech, we showed how a probability model trained on ...

A challenging, unsolved problem in the speech recognition community is recognizing speech signals that are corrupted by loud, highly nonstationary noise. One approach to noisy speech recognition is to automatically remove the noise from the cepstrum sequence before feeding it in to a clean speech recognizer. In previous work published in Eurospeech, we showed how a probability model trained on ...

Using large amounts of training data may prove to be critical to attaining very low error rates in conversational speech recognition. Recent collection efforts by the LDC[1] have produced a large corpus of such data, but to be useful, it must be transcribed. Historically, the cost of transcribing conversational speech has been very high, leading us to consider quick transcription methods that a...

This paper describes efforts by the University of Pennsylvania's Linguistic Data Consortium to create and distribute shared linguistic resources – including data, annotations, tools and infrastructure – to support the Rich Transcription 2005 Spring Meeting Recognition Evaluation. In addition to distributing large volumes of training data, LDC produced reference transcripts for the RT-05S confer...

in this paper, genetic programming is applied for quality improvement of noisy speech signal. therefore, a system including both spectral subtraction and genetic programming is implemented for speech enhancement. in the proposed method, first noise is reduced by spectral subtraction. in the next step, genetic programming trees are trained for more enhancement of noisy signal by mapping the sign...