Publication

HMM mixtures (HMM2) for robust speech recognition

Publications associées (213)

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

HMM mixtures (HMM2) for robust speech recognition

Graph Chatbot

Chattez avec Graph Search

Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features

Measuring the gap between HMM-based ASR and TTS

Measuring the gap between HMM-based ASR and TTS

VTLN Adaptation for Statistical Speech Synthesis

Keyword Detection for Spontaneous Speech

Inference in switching linear dynamical systems applied to noise robust speech recognition of isolated digits

Inference in switching linear dynamical systems applied to noise robust speech recognition of isolated digits

Inference in Switching Linear Dynamical Systems Applied to Noise Robust Speech Recognition of Isolated Digits

Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction

Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction

VTLN Adaptation for Statistical Speech Synthesis

Inference in switching linear dynamical systems applied to noise robust speech recognition of isolated digits

Inference in switching linear dynamical systems applied to noise robust speech recognition of isolated digits

Inference in Switching Linear Dynamical Systems Applied to Noise Robust Speech Recognition of Isolated Digits

Measuring the gap between HMM-based ASR and TTS

Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction

Measuring the gap between HMM-based ASR and TTS

Recognition Of Reverberant Speech Using Frequency Domain Linear Prediction

Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features

Keyword Detection for Spontaneous Speech