Towards a new speech event detection approach for landmark-based speech recognition - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2012

Towards a new speech event detection approach for landmark-based speech recognition

Résumé

In this work, we present a new approach for the classification and detection of speech units for the use in landmark or eventbased speech recognition systems. We use segmentation to model any time-variable speech unit by a fixed-dimensional observation vector, in order to train a committee of boosted decision stumps on labeled training data. Given an unknown speech signal, the presence of a desired speech unit is estimated by searching for each time frame the corresponding segment, that provides the maximum classification score. This approach improves the accuracy of a phoneme classification task by 1.7%, compared to classification using HMMs. Applying this approach to the detection of broad phonetic landmarks inside a landmark-driven HMM-based speech recognizer significantly improves speech recognition.
Fichier principal
Vignette du fichier
slt8_final.pdf (174.69 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00758424 , version 1 (28-11-2012)

Identifiants

  • HAL Id : hal-00758424 , version 1

Citer

Stefan Ziegler, Bogdan Ludusan, Guillaume Gravier. Towards a new speech event detection approach for landmark-based speech recognition. SLT - Workshop on Spoken Language Technology, 2012, United States. ⟨hal-00758424⟩
304 Consultations
269 Téléchargements

Partager

Gmail Facebook X LinkedIn More