Title
Efficient prior and incremental beam width control to suppress excessive speech recognition time based on score range estimation
Abstract
This paper proposes a technique that efficiently controls the beam width to yield practical computation times when auto-transcribing massive volumes of speeches. We focus on the fact that a lot of time is wasted by recognizing poor quality speeches that will yield, with inordinate slowness, erroneous transcriptions and provide no useful results. To stabilize the time regardless of quality, our proposal controls the beam width based on prolonged score spread against the target speech; it formulates the score range within the width and maximizes computation efficiency by regulating the range relevant to the hypotheses' survival rate. The proposed technique can control the width rapidly by using just monophones prior to decoding. It also restricts the width in decoding by using the processing speed and remaining data time to better handle stubborn speeches. Experiments with several SNRs and actual call-center speeches confirm a reduction in computation time while matching the accuracy of existing techniques.
Year
DOI
Venue
2012
10.1109/SLT.2012.6424209
SLT
Keywords
Field
DocType
incremental beam width control,processing speed,excessive speech recognition time suppression,signal denoising,score range estimation,automatic speech recognition,speech recognition,computational complexity,beam search,monophones,hypotheses survival rate,data time,decoding parameter optimization,computation times,decoding,call-center speeches
Pattern recognition,Voice activity detection,Computer science,Speech recognition,Artificial intelligence,Decoding methods,Slowness,Beam diameter,Computation,Computational complexity theory
Conference
ISSN
ISBN
Citations 
2639-5479
978-1-4673-5124-9
0
PageRank 
References 
Authors
0.34
12
6
Name
Order
Citations
PageRank
Satoshi Kobashikawa1289.73
Takaaki Hori240845.58
Yoshikazu Yamaguchi37711.18
Taichi Asami42210.49
Hirokazu Masataki5189.21
Satoshi Takahashi600.34