Publication

INTEGRATING ARTICULATORY FEATURES USING KULLBACK-LEIBLER DIVERGENCE BASED ACOUSTIC MODEL FOR PHONEME RECOGNITION

Publications associées (37)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

INTEGRATING ARTICULATORY FEATURES USING KULLBACK-LEIBLER DIVERGENCE BASED ACOUSTIC MODEL FOR PHONEME RECOGNITION

Graph Chatbot

Chattez avec Graph Search

Template-matching for text-dependent speaker verification

Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Speaker diarization of spontaneous meeting room conversations

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition

Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans

Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Speaker diarization of spontaneous meeting room conversations

Phonetic and Phonological Posterior Search Space Hashing Exploiting Class-Specific Sparsity Structures

Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition

Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition

Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans

Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans

Template-matching for text-dependent speaker verification