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金聲玉振 Taiwan Univ. & Academia Sinica 1 Spoken Dialogue in Information Retrieval Jia-lin Shen Oct. 22, 1998
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金聲玉振 Taiwan Univ. & Academia Sinica 2 Outline Introduction Spoken Dialogue Technologies Spoken Dialogue in Information Retrieval Information Retrieval in Spoken Dialogue Some Speech Information Retrieval Examples Conclusion
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金聲玉振 Taiwan Univ. & Academia Sinica 3 Introduction Speech Processing Applications Command control Data entry Consumer electronics TelephonySynthesis Verification/ Identification
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金聲玉振 Taiwan Univ. & Academia Sinica 4 Introduction Using speech in information retrieval system Information Retrieval System Database Retrieved documents Input queries Text input / Speech input Text output / Speech output Text database / Speech database Platform : Computer Consumer electronic products Telephone
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金聲玉振 Taiwan Univ. & Academia Sinica 5 Introduction The impact of speech in information retrieval system –Speech input : data entry –Speech output :synthesis –Multimedia database : including speech, text, image –Platform : »Consumer electronic products : PDA, remote controller, GPS... »Telephone –Personalization : speaker identification/verification
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金聲玉振 Taiwan Univ. & Academia Sinica 6 Introduction Advantages using speech –Naturalness –Penetrability –Convenience –Platform flexibility Drawbacks using speech –Probability –Variability –Security
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金聲玉振 Taiwan Univ. & Academia Sinica 7 Spoken Dialogue Spoken Dialogue system –Telephony-based speech interactive system Telephony-based Speech Recognition Acoustic models Lexicon Language models Language Understanding Syntactic models Semantic models Concept grammar Dialogue Control Database Discourse context Language Generation Speech Synthesis
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金聲玉振 Taiwan Univ. & Academia Sinica 8 Spoken Dialogue Related Research Topics in spoken dialogue –Telephony based speech recognition »Robustness in dealing with both speaker variability and environment variability –Language understanding »Corpus-based statistical approach »Rule based syntactic/semantic driven approach –Dialogue control –Language generation / speech synthesis –Spoken dialogue system evaluation –Architecture development in spoken dialogue system »Client-server platform
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金聲玉振 Taiwan Univ. & Academia Sinica 9 Spoken Dialogue in Information Retrieval Data entry platform –Wired/wireless telephone Output retrieved documents using speech –Precision rates are much more important than recall rates Dialogue control technology helps Interactive communication between human and machine Language understanding technology improves query input from text to concept Speaker verification/identification using speech can help security for personalization
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金聲玉振 Taiwan Univ. & Academia Sinica 10 Input queries are usually proper nouns, which are out-of-vocabulary terms in the lexicon for speech recognition Non-grammatical and very short input queries leads to the degradation in language modeling Speaker independence over the telephone is highly desired Confidence measure (probabilistic / deterministic) due to speech recognition errors Speech coding/transmission in internet Information Retrieval in Spoken Dialogue
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金聲玉振 Taiwan Univ. & Academia Sinica 11 Some Examples Air travel information service (ATIS) in USA –Best performance - at the end of 1995 »Understanding error rate of 5.9% and 8.9% for text and speech input, respectively Flight and train schedule inquiry system in Europe –Multilingual : English, French, German, Italian MIT Galaxy weather inquiry system Telephone Directory Services for Financing /Banking Organizations in Taipei Area
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金聲玉振 Taiwan Univ. & Academia Sinica 12 Conclusion What role can SPEECH play in information retrieval ? What impact can spoken dialogue make in information retrieval ?
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