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Previous work has shown that spectro-temporal features reduce the word error rate for automatic speech recognition under noisy conditions. These systems, however, required significant hand-tuning in order to determine which spectral and temporal modulations should be included in a particular stream. In this work, streams are split into one spectral and temporal modulation each and their posterior...
Aspiration is an important phonemic feature in several Indian languages. Unlike English, languages such as Marathi have lexicons in which words with different meanings differ only in the aspiration feature of the initial voiced or unvoiced stop. Thus the reliable discrimination of aspirated stops from their unaspirated counterparts is important in automatic speech recognition for such languages. The...
This paper describes a way of designing modulation filter by data driven analysis which improves the performance of automatic speech recognition systems that operate in real environments. The filter for each nonlinear channel output is obtained by a constrained optimization process which jointly minimizes the environmental distortion as well as the distortion caused by the filter itself. Recognition...
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