ISCA Archive Eurospeech 1997
ISCA Archive Eurospeech 1997

Automatic derivation of multiple variants of phonetic transcriptions from acoustic signals

Houda Mokbel, Denis Jouvet

This paper deals with two methods for automatically finding multiple phonetic transcriptions of words, given sample utterances of the words and an inventory of context-dependent subword units. The two approaches investigated are based on an analysis of the N-best phonetic decoding of the available utterances. In the set of transcriptions resulting fromthe N-best decoding of all the utterances, the first method selects the K most frequent variants (Frequency Criterion) , while the second method selects the K most likely ones (Maximum Likelihood Criterion). Experiments carried out on speaker-independent recognition showed that the performance obtained with the "Maximum Likelihood Criterion" is not much different from that obtained with manual transcriptions. In the case of speaker-dependent speech recognition, the estimate of the 3 most likely transcription variants of each word, yields promising results.


doi: 10.21437/Eurospeech.1997-463

Cite as: Mokbel, H., Jouvet, D. (1997) Automatic derivation of multiple variants of phonetic transcriptions from acoustic signals. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1619-1622, doi: 10.21437/Eurospeech.1997-463

@inproceedings{mokbel97b_eurospeech,
  author={Houda Mokbel and Denis Jouvet},
  title={{Automatic derivation of multiple variants of phonetic transcriptions from acoustic signals}},
  year=1997,
  booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
  pages={1619--1622},
  doi={10.21437/Eurospeech.1997-463},
  issn={1018-4074}
}