Design and Performance Improvement of a Spoken Term Detection System

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Ghadirinia, Marzieh | 2014

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47402 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Sameti, Hossein
Abstract:
Recently, widely application of video and radio data makes the exploiting an efficient speech information retrival systems highly crucial. In the present work, Our focus is on spoken term detection which is one of the most important approaches for information retrival. The present system is including two main steps: first, speech processing by means of automatic speech recognition. In recognition Step, we apply large vocabulary. In all recent approaches, the main concern is to retrieve words which are out of vocabulary (OOV). The state of the art to tackle the problem is to exploit the proxy kewords which are in vocabulary words and could be recognized instead of OOV words. Such proxies have been constructed by a confusion matrix, which is generated from recognition output. Our main contribution in this work is not only to implement effectively this system, but also 3.4 increasing ATWV of this system by combining word-level and phoneme-level speech recognition engines
Keywords:
Speech Recognition ; Continuous Speech Recognition ; Out of Vocabulary Words ; Spoken Term Detection ; Sub-Word Level Recognition

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