Publication

Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition

Related publications (89)

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.

Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition

Graph Chatbot

Chat with Graph Search

Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System

Modeling annotator behaviors for crowd labeling

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

A Probabilistic Approach to Mining Mobile Phone Data Sequences

Computational Education using Latent Structured Prediction

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

A Probabilistic Approach to Mining Mobile Phone Data Sequences

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Modeling annotator behaviors for crowd labeling

Computational Education using Latent Structured Prediction

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS

ACCENT ADAPTATION USING SUBSPACE GAUSSIAN MIXTURE MODELS