Amanote Research

Amanote Research

    RegisterSign In

Encoder Transfer for Attention-Based Acoustic-To-Word Speech Recognition

doi 10.21437/interspeech.2018-1424
Full Text
Open PDF
Abstract

Available in full text

Date

September 2, 2018

Authors
Sei UenoTakafumi MoriyaMasato MimuraShinsuke SakaiYusuke ShinoharaYoshikazu YamaguchiYushi AonoTatsuya Kawahara
Publisher

ISCA


Related search

Acoustic-Phonetics Based Speech Recognition

1989English

End-To-End Speech Recognition With Auditory Attention for Multi-Microphone Distance Speech Recognition

2017English

Word Spotting Speech Recognition

Journal of Japan Society for Fuzzy Theory and Systems
1999English

Deep Word Embeddings for Visual Speech Recognition

2018English

Effects of the Acoustic Properties of Infant-Directed Speech on Infant Word Recognition

Journal of the Acoustical Society of America
AcousticsUltrasonicsArtsHumanities
2010English

Decision Tree-Based Acoustic Models for Speech Recognition With Improved Smoothness

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2011English

An Acoustic Measure for Word Prominence in Spontaneous Speech

IEEE Transactions on Audio, Speech and Language Processing
2007English

End-To-End Automatic Speech Recognition With a Reconstruction Criterion Using Speech-To-Text and Text-To-Speech Encoder-Decoders

2019English

Training Methods for Deep Neural Network-Based Acoustic Models in Speech Recognition

English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy