Title
Speaker-Adapted Confidence Measures for ASR Using Deep Bidirectional Recurrent Neural Networks.
Abstract
In the last years, deep bidirectional recurrent neural networks (DBRNN) and DBRNN with long short-term memory cells (DBLSTM) have outperformed the most accurate classifiers for confidence estimation in automatic speech recognition. At the same time, we have recently shown that speaker adaptation of confidence measures using DBLSTM yields significant improvements over non-adapted confidence measure...
Year
DOI
Venue
2018
10.1109/TASLP.2018.2819900
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Keywords
Field
DocType
Speech,Adaptation models,Computer architecture,Training,Recurrent neural networks,Speech processing,Task analysis
Speech corpus,Speech processing,Confidence measures,Task analysis,Computer science,Long short term memory,Recurrent neural network,Speech recognition,Speaker adaptation
Journal
Volume
Issue
ISSN
26
7
2329-9290
Citations 
PageRank 
References 
2
0.40
26
Authors
5
Name
Order
Citations
PageRank
Miguel A. del Agua181.54
Adrià Giménez2224.33
Alberto Sanchis3244.40
Jorge Civera424327.87
alfons juan557261.45