Automatic Phonemic Transcription and Linguistic Annotation from Known Text with Hidden Markov Models

@inproceedings{Rapp1995AutomaticPT,
  title={Automatic Phonemic Transcription and Linguistic Annotation from Known Text with Hidden Markov Models},
  author={Stefan. Rapp},
  year={1995}
}
This paper describes the architecture of a word and phoneme aligner based on Hidden Markov Models (HMMs). It was developed to allow for word, syllable and segment length extraction as part of a feature extraction stage for prosody recognition. From a given orthographic ASCII text and sampled speech data, a label le with phonemes, syllables or words is automatically generated. Linguistic categories coded in the lexicon can also be included in the generated label les. 
Highly Cited
This paper has 57 citations. REVIEW CITATIONS

Citations

Publications citing this paper.

58 Citations

0510'96'01'07'13
Citations per Year
Semantic Scholar estimates that this publication has 58 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-4 of 4 references

From read speech to real speech

  • W. N. Campbell
  • Proceedings ICPhS 95 Stockholm
  • 1995

Certamen Phonologicum II

  • P. M. Bertinetto, M. Kentstowicz, M. Loporcaro
  • Papers from the 1990 Cortona Phonology Meeting…
  • 1990

Similar Papers

Loading similar papers…