NDLI: Efficient nearly error-less LVCSR decoding based on incremental forward and backward passes

Content Provider	IEEE Xplore Digital Library
Author	Nolden, D. Schluter, R. Ney, H.
Copyright Year	2013
Description	Author affiliation: Human Language Technol. & Pattern Recognition Group, RWTH Aachen Univ., Aachen, Germany (Nolden, D.; Schluter, R.; Ney, H.)
Abstract	We show that most search errors can be identified by aligning the results of a symmetric forward and backward decoding pass. Based on this knowledge, we introduce an efficient high-level decoding architecture which yields virtually no search errors, and requires virtually no manual tuning. We perform an initial forward- and backward decoding with tight initial beams, then we identify search errors, and then we recursively increment the beam sizes and perform new forward and backward decodings for erroneous intervals until no more search errors are detected. Consequently, each utterance and even each single word is decoded with the smallest beam size required to decode it correctly. On all tested systems we achieve an error rate equal or very close to classical decoding with ideally tuned beam size, but unsupervisedly without specific tuning, and at around 2 times faster runtime. An additional speedup by factor 2 can be achieved by decoding the forward and backward pass in separate threads.
Starting Page	66
Ending Page	71
File Size	312664
Page Count	6
File Format	PDF
ISBN	9781479927562
DOI	10.1109/ASRU.2013.6707707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-08
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Acoustic beams Hidden Markov models Context Acoustics Error analysis Runtime pruning search error detection error-less decoding LVCSR
Content Type	Text
Resource Type	Article

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