论文信息 - Using phoneme group specific LVQ-codebooks with HMMs

Using phoneme group specific LVQ-codebooks with HMMs

We have implemented a novel combination of LVQ{codebooks and hidden Markov models (HMMs) for transcribing spoken Finnish words into phonemes. A separate LVQ{codebook was trained for the unvoiced plosives /k/, /p/ and /t/. HMMs were then modiied to accommodate two parallel phoneme codebooks and a third codebook representing the power of the speech signal. The error rate of phonemic transcription was as low as 9.1 %. A preliminary test with an additional /b/, /d/ and /g/ codebook was also carried out.

Samuel Kaski | Kari Torkkola | Pekka Utela

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