Acoustic/Phonetic Transcription Using a Polynomial Classifier and Hidden Markov Models

Auteurs-es

  • Alfred Kaltenmeier

Résumé

This paper describes a module for acoustic/phonetic transcription in a continuous speech understanding system. This module segments input utterances into sequences of phone classes which belong to one of six broad phonetic categories. In a higher system level such segment sequences are used to hypothesize possible word candidates from a lexicon.

This module is hierarchically implemented in two stages: a polynomial classifier for a frame-by-frame classification of phone classes followed by a segmentation stage using Hidden Markov Models (HMM) of phone class segments.

Fichiers supplémentaires

Publié-e

2022-12-03

Comment citer

1.
Kaltenmeier A. Acoustic/Phonetic Transcription Using a Polynomial Classifier and Hidden Markov Models. Canadian Acoustics [Internet]. 3 déc. 2022 [cité 7 août 2024];14(3 bis):95-6. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3537

Numéro

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique