Cepstrum-domain acoustic feature compensation based on decomposition of speech and noise for ASR in noisy environments
نویسندگان
چکیده
This paper presents a set of acoustic feature pre-processing techniques that are applied to improving automatic speech recognition (ASR) performance on noisy speech recognition tasks. The principal contribution of this paper is an approach for cepstrum-domain feature compensation in ASR which is motivated by techniques for decomposing speech and noise that were originally developed for noisy speech enhancement. This approach is applied in combination with other feature compensation algorithms to compensating ASR features obtained from a mel-filterbank cepstrum coefficient front-end. Performance comparisons are made with respect to the application of the minimum mean squared error log spectral amplitude (MMSE-LSA) estimator based speech enhancement algorithm prior to feature analysis. An experimental study is presented where the feature compensation approaches described in the paper are found to greatly reduce ASR word error rate compared to uncompensated features under environmental and channel mismatched conditions.
منابع مشابه
Acoustic feature compensation based on decomposition of speech and noise for ASR in noisy environments
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عنوان ژورنال:
- IEEE Trans. Speech and Audio Processing
دوره 11 شماره
صفحات -
تاریخ انتشار 2003