Improving Keyword Recognition of Spoken Queries by Combining Multiple Speech Recognizer's Outputs for Speech-driven WEB Retrieval Task(Spoken Language Systems, <Special Section>Corpus-Based Speech Technologies)

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概要

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• This paper presents speech-driven Web retrieval models which accept spoken search topics (queries) in the NTCIR-3 Web retrieval task. The major focus of this paper is on improving speech recognition accuracy of spoken queries and then improving retrieval accuracy in speech-driven Web retrieval. We experimentally evaluated the techniques of combining outputs of multiple LVCSR models in recognition of spoken queries. As model combination techniques, we compared the SVM learning technique with conventional voting schemes such as ROVER. In addition, for investigating the effects on the retrieval performance in vocabulary size of the language model, we prepared two kinds of language models: the one's vocabulary size was 20,000, the other's one was 60,000. Then, we evaluated the differences in the recognition rates of the spoken queries and the retrieval performance. We showed that the techniques of multiple LVCSR model combination could achieve improvement both in speech recognition and retrieval accuracies in speech-driven text retrieval. Comparing with the retrieval accuracies when an LM with a 20,000/60,000 vocabulary size is used in an LVCSR system, we found that the larger the vocabulary size is, the better the retrieval accuracy is.

• 社団法人電子情報通信学会の論文
• 2005-03-01

著者

• Nakagawa Seiichi

  Department of Information and Computer Sciences, Toyohashi University of Technology

• Nakagawa Seiichi

  Department Of Information And Computer Sciences Toyohashi University Of Technology

• Nakagawa S

  Toyohashi Univ. Technol. Toyohashi Jpn

• Nakagawa Seiichi

  Department Of Information And Computer Sciences Toyohashi University

• Utsuro Takehito

  Graduate School Of Informatics Kyoto University

• MATSUSHITA Masahiko

  Denso Techno Corporation

• NISHIZAKI Hiromitsu

  Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi

• Nishizaki Hiromitsu

  Interdisciplinary Graduate School Of Medicine And Engineering University Of Yamanashi

• Nakagawa Seiichi

  Department of Computer Science and Engineering, Toyohashi University of Technology

関連論文

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• A transitive translation for Indonesian-Japanese CLQA (自然言語処理)
• A Machine Learning Approach for an Indonesian-English Cross Language Question Answering System(Natural Language Processing)
• Indonesian-Japanese Transitive Translation using English for CLIR
• A Comparative Study of Output Probability Functions in HMMs
• Topic dependent language model based on on-line voting (音声)
• Topic dependent language model based on clustering of noun word history
• Word and class dependency of N-gram language model (音声言語情報処理)
• Word and class dependency of N-gram language model (言語理解とコミュニケーション・第9回音声言語シンポジウム)
• Word and class dependency of N-gram language model (音声・第9回音声言語シンポジウム)
• Text-Independent/Text-Prompted Speaker Recognition by Combining Speaker-Specific GMM with Speaker Adapted Syllable-Based HMM(Speaker Recognition, Statistical Modeling for Speech Processing)
• Evaluation of Combinational Use of Discriminant Analysis-Based Acoustic Feature Transformation and Discriminative Training
• LVCSR based on context-dependent syllable acoustic models (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
• Robust distant speech recognition by combining variable-term spectrum based position-dependent CMN with conventional CMN (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
• Linear Discriminant Analysis Using a Generalized Mean of Class Covariances and Its Application to Speech Recognition
• Robust Speech Recognition by Combining Short-Term and Long-Term Spectrum Based Position-Dependent CMN with Conventional CMN
• Robust distant speech recognition by combining variable-term spectrum based position-dependent CMN with conventional CMN
• Improving Keyword Recognition of Spoken Queries by Combining Multiple Speech Recognizer's Outputs for Speech-driven WEB Retrieval Task(Spoken Language Systems, Corpus-Based Speech Technologies)
• An Unsupervised Speaker Adaptation Method for Lecture-Style Spontaneous Speech Recognition Using Multiple Recognition Systems(Spoken Language Systems, Corpus-Based Speech Technologies)
• Speaker Change Detection and Speaker Clustering Using VQ Distortion Measure
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• Distant Speech Recognition Using a Microphone Array Network
• Auditory perception versus automatic estimation of location and orientation of an acoustic source in a real environment
• Continuous Speech Recognition Using an On-Line Speaker Adaptation Method Based on Automatic Speaker Clustering (Special Issue on Speech Information Processing)
• Distant-Talking Speech Recognition Based on Spectral Subtraction by Multi-Channel LMS Algorithm
• A Spoken Dialog System for Spontaneous Conversations Considering Response Timing and Response Type
• Indonesian-Japanese Transitive Translation using English for CLIR
• Class-Based N-Gram Language Model for New Words Using Out-of-Vocabulary to In-Vocabulary Similarity
• Spoken Term Detection Using Phoneme Transition Network from Multiple Speech Recognizers' Outputs
• Spoken Term Detection Using Phoneme Transition Network from Multiple Speech Recognizers' Outputs

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