NDLI: Two-stage spoken term detection system for under-resourced languages

Content Provider	IET Digital Library
Author	G, Deekshitha Mary, Leena
Abstract	Spoken Term Detection (STD) is the process of locating the occurrences of spoken queries in a given speech database. Generally, two methods are adopted for STD: an ASR based sequence matching and ASR-free, feature-based template matching. If a well-performing ASR is available, the former STD method is accurate. However, to build an ASR with consistent performance, several hours of labelled corpora is required. Template matching methods work well for small or chopped utterances. However, in practice, the volume of the search database can be huge, containing sentences of varying lengths. Hence time complexity of template matching techniques will be high, which makes them impractical for realistic search applications. In this work, a two-stage STD system is proposed, which combines the ASR-based phoneme sequence matching in the first stage and feature sequence template matching of selected locations in the second stage. The time complexity of the second stage is reduced by performing DTW-based template matching only at probable query locations identified by the first stage. ‘Split and match’ approach helps to reduce the false-positives in case of longer query words. Effectiveness of the proposed method is demonstrated using English and Malayalam datasets.
Starting Page	602
Ending Page	613
Page Count	12
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 9, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0131
Journal	IET Signal Processing
Publisher Date	2020-07-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ASR-free Automatic Speech Recognition Based Sequence Matching Available Annotated Corpora Combinatorial Mathematics Computer Vision And Image Processing Technique Erroneous Label Sequence Feature Extraction Feature Level Template Matching Feature Sequence Template Matching Given Speech Database Image Matching Image Recognition Labelled Corpora Labelled Story Database Longer Query Words Natural Language Processing Phoneme Label Sequence Matching Probability Probable Query Locations Query Length Query Processing Search Database Sequence Matching Technique Speech And Audio Signal Processing Speech Processing Speech Processing Technique Speech Recognition Speech Recognition And Synthesis Spoken Queries Stage Spoken Term Detection System Statistics STD Method STD System STD Task Template Matching Approach Template Matching Method Work Template Matching Technique Time 3.5 Hour Time Complexity Two-stage STD
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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