Amanote Research
Register
Sign In
LID-senone Extraction via Deep Neural Networks for End-To-End Language Identification
doi 10.21437/odyssey.2016-30
Full Text
Open PDF
Abstract
Available in
full text
Date
June 21, 2016
Authors
Ma Jin
Yan Song
Ian Mcloughlin
Lirong Dai
Zhongfu Ye
Publisher
ISCA
Related search
gazeNet: End-To-End Eye-Movement Event Detection With Deep Neural Networks
Behavior Research Methods
Developmental
Arts
Psychology
Educational Psychology
Cognitive Psychology
Humanities
Experimental
SampleCNN: End-To-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification
Applied Sciences (Switzerland)
Instrumentation
Materials Science
Fluid Flow
Engineering
Computer Science Applications
Process Chemistry
Transfer Processes
Technology
Automatic Language Identification Using Deep Neural Networks
Fully Automatic Brain Tumor Segmentation Using End-To-End Incremental Deep Neural Networks in MRI Images
Computer Methods and Programs in Biomedicine
Software
Computer Science Applications
Health Informatics
End-To-End Prediction of Buffer Overruns From Raw Source Code via Neural Memory Networks
Learning Literary Style End-To-End With Artificial Neural Networks
Advances in Science, Technology and Engineering Systems
Engineering
Astronomy
Physics
Management of Technology
Innovation
End-To-End Speaker Identification in Noisy and Reverberant Environments Using Raw Waveform Convolutional Neural Networks
Toward End-To-End Control for UAV Autonomous Landing via Deep Reinforcement Learning
An End-To-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics
