Publication

Visual Speech and Speaker Recognition

Related publications (177)

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.

Visual Speech and Speaker Recognition

Graph Chatbot

Chat with Graph Search

Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models

Novel Methods For Detection And Analysis Of Atypical Aspects In Speech

Sparse Autoencoders for Speech Modeling and Recognition

Adjustable deterministic pseudonymization of speech

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal

Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers

Sparse Autoencoders for Speech Modeling and Recognition

Adjustable deterministic pseudonymization of speech

Novel Methods For Detection And Analysis Of Atypical Aspects In Speech

Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal

Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers