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Digital filter interpolation of decoded LSFs for distributed continuous speech recognition

Digital filter interpolation of decoded LSFs for distributed continuous speech recognition

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© The Institution of Engineering and Technology
Published

A digital filter interpolation of decoded line spectral frequencies (LSFs) that significantly outperforms linear interpolation for large vocabulary distributed continuous speech recognition systems is presented. Experiments were conducted using linear predictive coding (LPC) and LSF-derived speech recognition features, CDHMM acoustic models, triphone units and trigram language models for Brazilian Portuguese.

Inspec keywords: speech recognition; digital filters; linear predictive coding; decoding

Other keywords: acoustic models; linear predictive coding; speech recognition features; linear interpolation; trigram language models; decoded line spectral frequencies; triphone units; vocabulary distributed continuous speech recognition; digital filter interpolation

Subjects: Speech recognition and synthesis; Digital filters; Speech processing techniques; Digital filters; Codes; Filtering methods in signal processing

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