Publication

Unified Framework of Feature Based Adaptation for Statistical Speech Synthesis and Recognition

Related publications (83)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Unified Framework of Feature Based Adaptation for Statistical Speech Synthesis and Recognition

Graph Chatbot

Chat with Graph Search

Measuring the gap between HMM-based ASR and TTS

Robust Speaker Diarization for Short Speech Recordings

Robust Speaker Diarization for Short Speech Recordings

Acoustic models for posterior features in speech recognition

Acoustic Models for Posterior Features in Speech Recognition

Acoustic Models for Posterior Features in Speech Recognition

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Acoustic Models for Posterior Features in Speech Recognition

Acoustic Models for Posterior Features in Speech Recognition

Acoustic models for posterior features in speech recognition

Robust Speaker Diarization for Short Speech Recordings

Robust Speaker Diarization for Short Speech Recordings

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Measuring the gap between HMM-based ASR and TTS