Extracting phonological chunks based on piecewise linear segment lattices

نویسندگان

  • Hiroaki Kojima
  • Kazuyo Tanaka
چکیده

The task of our research is to form phone-like models and a phoneme-like set from spoken word samples without using any transcriptions except for the lexical identi cation of each word in a vocabulary. This framework is derived from two motivations: 1) automatic design of optimal speech recognition units and structures of phone models, and 2) multi-lingual speech recognition based on languageindependent intermediate phonetic codes. The procedure consists of two steps: 1) constructing a VQ codebook of sub-phonetic segments from speech samples, and 2) extracting phonological chunks from sequences of the codes. Segment model is represented with \piecewise linear segment lattice" model, which is a lattice structure of segments, each of which is represented as regression coeÆcients of feature vectors within the segment. Phonological chunks are extracted with a criterion based on KullbackLeibler divergence between the distribution of individual VQ codes. The recognition rate yields approximately 90% on the 1542 words task with 128 VQ codes.

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تاریخ انتشار 2000