Statistical methods for speech recognition
Statistical methods for speech recognition
A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A hidden Markov model information retrieval system
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval
Proceedings of the eighth international conference on Information and knowledge management
Phonetic confusion matrix based spoken document retrieval
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Indexing and retrieval of broadcast news
Speech Communication - Special issue on accessing information in spoken audio
Spoken document representations for probabilistic retrieval
Speech Communication - Special issue on accessing information in spoken audio
A system for the retrieval of Italian broadcast news
Speech Communication - Special issue on accessing information in spoken audio
Experiments in syllable-based retrieval of broadcast news speech in Mandarin Chinese
Speech Communication - Special issue on accessing information in spoken audio
Experiments in spoken document retrieval using phoneme n-grams
Speech Communication - Special issue on accessing information in spoken audio
Document language models, query models, and risk minimization for information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Pattern Recognition in Speech and Language Processing
Pattern Recognition in Speech and Language Processing
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
Information fusion for spoken document retrieval
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Exploring the use of latent topical information for statistical Chinese spoken document retrieval
Pattern Recognition Letters
Extractive spoken document summarization for information retrieval
Pattern Recognition Letters
A lattice-based approach to query-by-example spoken document retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Word Topic Models for Spoken Document Retrieval and Transcription
ACM Transactions on Asian Language Information Processing (TALIP)
Topic modeling for spoken document retrieval using word- and syllable-level information
SSCS '09 Proceedings of the third workshop on Searching spontaneous conversational speech
Statistical lattice-based spoken document retrieval
ACM Transactions on Information Systems (TOIS)
Extractive chinese spoken document summarization using probabilistic ranking models
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
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In recent years, statistical modeling approaches have steadily gained in popularity in the field of information retrieval. This article presents an HMM/N-gram-based retrieval approach for Mandarin spoken documents. The underlying characteristics and the various structures of this approach were extensively investigated and analyzed. The retrieval capabilities were verified by tests with word- and syllable-level indexing features and comparisons to the conventional vector-space model approach. To further improve the discrimination capabilities of the HMMs, both the expectation-maximization (EM) and minimum classification error (MCE) training algorithms were introduced in training. Fusion of information via indexing word- and syllable-level features was also investigated. The spoken document retrieval experiments were performed on the Topic Detection and Tracking Corpora (TDT-2 and TDT-3). Very encouraging retrieval performance was obtained.