Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models

IEEE/ACM Transactions on Audio Speech and Language Processing - United States
doi 10.1109/taslp.2016.2558826
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2019English

Forecasting Crude Oil Production Using Quadratic Regression and Layer Recurrent Neural Network Models

2016English

Predicting Hurricane Trajectories Using a Recurrent Neural Network

Proceedings of the AAAI Conference on Artificial Intelligence
2019English

Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech

2014English

PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor Using Recurrent Neural Network Models

Scientific Reports
Multidisciplinary
2020English

A Primer on Neural Network Models for Natural Language Processing

Journal of Artificial Intelligence Research
Artificial Intelligence
2016English

Recurrent Neural Network Models of Multi-Area Computation Underlying Decision-Making

2019English

Epigenome-Based Splicing Prediction Using a Recurrent Neural Network

2020English

Spam Detection Using KNN, Back Propagation and Recurrent Neural Network

International Journal of Engineering Research and
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy