Article

A speech understanding system based on statistical representation of semantics

Authors:

Jay G. WilponAuthors Info & Claims

ICASSP'92: Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1

Pages 193 - 196

Published: 23 March 1992 Publication History

Abstract

An understanding system, designed for both speech and text input, has been implemented based on statistical representation of task specific semantic knowledge. The core of the system is the conceptual decoder, that extracts the words and their association to the conceptual structure of the task directly from the acoustic signal. The conceptual information, that is also used to disambiguate the English sentences, i. encoded following a statistical paradigm. A template generator and an SQL translator process the sentence and produce SQL code for querying a relational database. Results of the system on the official DARPA test are given.

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A speech understanding system based on statistical representation of semantics
1. Hardware
  1. Power and energy
    1. Power estimation and optimization
      1. Platform power issues

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ICASSP'92: Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1

March 1992

646 pages

ISBN:0780305329

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IEEE Computer Society

United States

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Published: 23 March 1992

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Aliannejadi MAzzopardi LZamani HKanoulas EThomas PCraswell NDemartini GZuccon GCulpepper JHuang ZTong H(2021)Analysing Mixed Initiatives and Search Strategies during Conversational SearchProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3482231(16-26)Online publication date: 26-Oct-2021
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Aliannejadi MZamani HCrestani FCroft WPiwowarski BChevalier MGaussier EMaarek YNie JScholer F(2019)Asking Clarifying Questions in Open-Domain Information-Seeking ConversationsProceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3331184.3331265(475-484)Online publication date: 18-Jul-2019
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Lexical modeling in a speaker independent speech understanding system

MFCC-GMM based accent recognition system for Telugu speech signals

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