Project Overview Speech Speech Generation Generation Common - - PowerPoint PPT Presentation

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Project Overview Speech Speech Generation Generation Common - - PowerPoint PPT Presentation

9807-11 Multilingual Conversational System Research James Glass and Stephanie Seneff Project Overview Speech Speech Generation Generation Common Semantic Frame Speech Speech Understanding Understanding DATABASE Explore


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SLIDE 1

NTT - MIT Research Collaboration — Bi-Annual Report, January 1—June 30, 2000

9807-11 Multilingual Conversational System Research

James Glass and Stephanie Seneff

Project Overview

Speech Generation Speech Understanding

Common Semantic Frame

DATABASE

Speech Understanding Speech Generation

  • Explore language-independent approaches to speech

understanding and generation

  • Develop necessary human-language technologies to enable

porting of conversational interfaces from English to Japanese

  • Use existing Jupiter weather-information domain as test case
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SLIDE 2

NTT - MIT Research Collaboration — Bi-Annual Report, January 1—June 30, 2000

9807-11 Multilingual Conversational System Research

James Glass and Stephanie Seneff

Progress Through June 2000

  • Developed prototype weather information system

(Mokusei) using MIT human language technology

  • Initiated data collection from NTT employees

– Appropriate answers to approximately 60% of queries

  • Ongoing system refinement:

– Upgrade of language generation component for more natural sounding Japanese output – Reduce vocabulary inconsistencies among recognizer, parser, database, and generation components

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SLIDE 3

NTT - MIT Research Collaboration — Bi-Annual Report, January 1—June 30, 2000

9807-11 Multilingual Conversational System Research

James Glass and Stephanie Seneff

Research Plan for the Next Six Months

  • Collect spontaneous speech data from more

speakers interacting with the Mokusei system

  • Develop natural sounding corpus-based

concatenative synthesis for Mokusei domain

  • Refine system component capabilities:

– More robust acoustic and language models for ASR – Improved coverage for language understanding

  • Expansion of weather content for Japan