Improving Children’s Mismatched ASR using Structured Low-Rank Feature Projection

Publication date: Available online 8 November 2018Source: Speech CommunicationAuthor(s): S. Shahnawazuddin, Hemant K. Kathania, Abhishek Dey, Rohit SinhaAbstractThe work presented in this paper explores the issues in automatic speech recognition (ASR) of children's speech on acoustic models trained on adults' speech. In such contexts, due to a large acoustic mismatch between training and test data, highly degraded recognition rates are noted. Even with the use of vocal tract length normalization (VTLN), the mismatched case recognition performance is still much below that for the matched case. Our earlier studies have shown that, for commonly used mel-filterbank-based cepstral features, the acoustic mismatch is exacerbated by insufficient smoothing of pitch harmonics for child speakers....

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