• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Advanced Search Include Citations

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 78
Next 10 →

Evaluating Speech-Driven IR in the NTCIR-3 Web Retrieval Task

by Atsushi Fujii, Katunobu Itou - In Proceedings of the 3rd NTCIR Workshop on Research in Information Retrieval, Automatic Text Summarization and Question Answering , 2003
"... Speech recognition has of late become a practical technology for real world applications. For the purpose of research and development in speech-driven retrieval, which facilitates retrieving information with spoken queries, we organized the speech-driven retrieval subtask in the NTCIR-3 Web retrieva ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Speech recognition has of late become a practical technology for real world applications. For the purpose of research and development in speech-driven retrieval, which facilitates retrieving information with spoken queries, we organized the speech-driven retrieval subtask in the NTCIR-3 Web

Evaluating speech-driven web retrieval in the third NTCIR workshop

by Atsushi Fujii, Katunobu Itou - in Proc. AAAI Spring Symposium: Intelligent Multimedia Knowledge Management , 2003
"... Speech recognition has of late become a practical technology for real world applications. For the purpose of research and development in speech-driven retrieval, which facilitates re-trieving information with spoken queries, we organized the speech-driven retrieval subtask in the NTCIR-3 Web retriev ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Speech recognition has of late become a practical technology for real world applications. For the purpose of research and development in speech-driven retrieval, which facilitates re-trieving information with spoken queries, we organized the speech-driven retrieval subtask in the NTCIR-3 Web

A method for openvocabulary speech-driven text retrieval

by Atsushi Fujii - in Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing, 2002
"... While recent retrieval techniques do not limit the number of index terms, out-ofvocabulary (OOV) words are crucial in speech recognition. Aiming at retrieving information with spoken queries, we fill the gap between speech recognition and text retrieval in terms of the vocabulary size. Given a spoke ..."
Abstract - Cited by 8 (3 self) - Add to MetaCart
While recent retrieval techniques do not limit the number of index terms, out-ofvocabulary (OOV) words are crucial in speech recognition. Aiming at retrieving information with spoken queries, we fill the gap between speech recognition and text retrieval in terms of the vocabulary size. Given a

Effects of language modelling on speech-driven question answering

by Tomoyosi Akiba, Atsushi Fujii, Katunobu Itou - Proc. Interspeech 2004, Korea (cd-rom , 2004
"... We integrate automatic speech recognition (ASR) and question answering (QA) to realize a speech-driven QA system, and evaluate its performance. We adapt an Ngram language model to natural language questions, so that the input of our system can be recognized with a high accuracy. We target WH-questio ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
We integrate automatic speech recognition (ASR) and question answering (QA) to realize a speech-driven QA system, and evaluate its performance. We adapt an Ngram language model to natural language questions, so that the input of our system can be recognized with a high accuracy. We target WH

Building a test collection for speech-driven Web retrieval

by Atsushi Fujii, Katunobu Itou - In Proc. EUROSPEECH , 2003
"... This paper describes a test collection (benchmark data) for retrieval systems driven by spoken queries. This collection was produced in the subtask of the NTCIR-3 Web retrieval task, which was performed in a TREC-style evaluation workshop. The search topics and document collection for the Web retrie ..."
Abstract - Cited by 11 (2 self) - Add to MetaCart
This paper describes a test collection (benchmark data) for retrieval systems driven by spoken queries. This collection was produced in the subtask of the NTCIR-3 Web retrieval task, which was performed in a TREC-style evaluation workshop. The search topics and document collection for the Web

Language modeling for multi-domain speech-driven text retrieval

by Katunobu Itou, Atsushi Fujii, Tetsuya Ishikawa - In IEEE Automatic Speech Recognition and Understanding Workshop , 2001
"... We report experimental results associated with speech-driven text retrieval, which facilitates retrieving information in multiple domains with spoken queries. Since users speak contents related to a target collection, we produce language models used for speech recognition based on the target collect ..."
Abstract - Cited by 3 (3 self) - Add to MetaCart
We report experimental results associated with speech-driven text retrieval, which facilitates retrieving information in multiple domains with spoken queries. Since users speak contents related to a target collection, we produce language models used for speech recognition based on the target

A Method for Open-Vocabulary Speech-Driven Text Retrieval

by Atsushi Fujii Information, Atsushi Fujii - In Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing , 2002
"... While recent retrieval techniques do not limit the number of index terms, out-ofvocabulary (OOV) words are crucial in speech recognition. Aiming at retrieving information with spoken queries, we fill the gap between speech recognition and text retrieval in terms of the vocabulary size. Given ..."
Abstract - Add to MetaCart
While recent retrieval techniques do not limit the number of index terms, out-ofvocabulary (OOV) words are crucial in speech recognition. Aiming at retrieving information with spoken queries, we fill the gap between speech recognition and text retrieval in terms of the vocabulary size. Given

Speech-driven text retrieval: Using target IR collections for statistical language model adaptation in speech recognition

by Atsushi Fujii, Katunobu Itou, Tetsuya Ishikawa - Information Retrieval Techniques for Speech Applications (LNCS 2273 , 2002
"... Abstract. Speech recognition has of late become a practical technology for real world applications. Aiming at speech-driven text retrieval, which facilitates retrieving information with spoken queries, we propose a method to integrate speech recognition and retrieval methods. Since users speak conte ..."
Abstract - Cited by 11 (7 self) - Add to MetaCart
Abstract. Speech recognition has of late become a practical technology for real world applications. Aiming at speech-driven text retrieval, which facilitates retrieving information with spoken queries, we propose a method to integrate speech recognition and retrieval methods. Since users speak

Development of a Speech-Driven Automatic Telephone Service Retrieving pronunciation and spelling of names

by Marie Larsson, Beata Megyesi, Rich Schulman Speechcraft, Mathias Johansson, Speechcraft Abstract , 2006
"... This thesis describes the development and evaluation of a speech-driven telephone application for Speechcraft (a company developing speech-driven solutions). The application is created to allow companies to let Speechcraft know the pronunciation along with the spelling of the names of their employee ..."
Abstract - Add to MetaCart
This thesis describes the development and evaluation of a speech-driven telephone application for Speechcraft (a company developing speech-driven solutions). The application is created to allow companies to let Speechcraft know the pronunciation along with the spelling of the names

Exploiting Dynamic Passage Retrieval for Spoken Question Recognition and Context Processing towards Speech-driven Information Access Dialogue

by Tomoyosi Akiba
"... Speech interfaces and dialogue processing abilities have promise for improving the utility of open-domain question answering (QA). We propose a novel method of resolving disambiguation problems arisen in those speech and dialogue enhanced QA tasks. The proposed method exploits passage retrieval, whi ..."
Abstract - Add to MetaCart
-best rescoring of LVCSR outputs, which selects a most appropriate candidate as a question sentence, in speech-driven QA (SDQA) task and (2) context processing, which compose a complete question sentence from a submitted incomplete one by using the elements appeared in the dialogue context, in information access
Next 10 →
Results 1 - 10 of 78
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University