Publication

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

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.

Publications related to Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models | EPFL Graph Search

Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models

Graph Chatbot

Chat with Graph Search

Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data

Sparse Pronunciation Codes for Perceptual Phonetic Information Assessment

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Single-Handed Eyes-Free Universal Input Device

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data

Sparse Pronunciation Codes for Perceptual Phonetic Information Assessment

Exploiting Low-dimensional Structures to Enhance DNN based Acoustic Modeling in Speech Recognition

Low-Rank Representation For Enhanced Deep Neural Network Acoustic Models

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation

Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features

Investigating Cross-lingual Multi-level Adaptive Networks: The Importance of the Correlation of Source and Target Languages

Single-Handed Eyes-Free Universal Input Device