Publication

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Related publications (63)

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.

Using KL-based Acoustic Models in a Large Vocabulary Recognition Task

Graph Chatbot

Chat with Graph Search

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Operational route choice methodologies for practical applications

A Bayesian Approach To Inter-Task Fusion For Speaker Recognition

A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION

A sequence-dependent coarse-grain model of B-DNA with explicit description of bases and phosphate groups parametrised from large scale Molecular Dynamics simulations

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Comparing methodologies for structural identification and fatigue life prediction of a highway bridge

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Operational route choice methodologies for practical applications

A Bayesian Approach To Inter-Task Fusion For Speaker Recognition

A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

A BAYESIAN APPROACH TO INTER-TASK FUSION FOR SPEAKER RECOGNITION

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Efficient learning of smooth probability functions from Bernoulli tests with guarantees.

Multi-Modal Mean-Fields via Cardinality-Based Clamping

A sequence-dependent coarse-grain model of B-DNA with explicit description of bases and phosphate groups parametrised from large scale Molecular Dynamics simulations

Comparing methodologies for structural identification and fatigue life prediction of a highway bridge