Latent topic modeling of word co-occurrence information for spoken document retrieval

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 3961-3964

  Chen, Berlin ^a  

^a NATIONAL TAIWAN NORMAL UNIVERSITY   (Taiwan)

Author keywords

Language model; Probabilistic latent semantic analysis; Spoken document retrieval; Word topic model

Indexed keywords

CO-OCCURRENCE; LANGUAGE MODEL; LONG SPAN; PART OF SPEECH; PROBABILISTIC LATENT SEMANTIC ANALYSIS; RETRIEVAL MODELS; RETRIEVAL PERFORMANCE; SPOKEN DOCUMENT RETRIEVAL; TOPIC MODEL; WORD CO-OCCURRENCE; WORD TOPIC MODEL;

ACOUSTICS; COMPUTATIONAL LINGUISTICS; IMAGE RETRIEVAL; MODEL STRUCTURES; SEMANTICS; SIGNAL PROCESSING;

SECURITY OF DATA;

EID: 70349223893     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960495     Document Type: Conference Paper

References (15)

1. J. M. Ponte and W. B. Croft, "A language modeling approach to information retrieval", in Proc. ACM SIGIR 1998.
2. D. Miller et al., "A hidden Markov model information retrieval System", in Proc. ACM SIGIR 1999.
3. T. Hoffmann, "Unsupervised learning by probabilistic latent semantic analysis," Machine Learning 42, 2001.
4. B. Chen et al. "A discriminative HMM/N-gram-based retrieval approach for Mandarin spoken documents," ACM Trans. on Asian Language Information Processing 3(2), 2004.
5. L. S. Lee and B. Chen, "Spoken document understanding and organization," IEEE Signal Processing Magazine 22(5), 2005.
6. C. Chelba et al., "Retrieval and browsing of spoken content," IEEE Signal Processing Magazine 25(3), 2008.
7. C. D. Manning ta al., Introduction to Information Retrieval, Cambridge University Press, 2008.
8. T. Joachims and F. Radlinski, "Search engines that learn from implicit feedback," IEEE Trans. Computer 40(8), 2007.
9. D. M. Blei et al., "Latent Dirichlet allocation," Journal of Machine Learning Research 3, 2003.
10. L. Saul and F. Pereira, "Aggregate and mixed-order Markov models for statistical language processing," in Proc. EMNLP 1997.
11. R. Nallapati, "Discriminative models for information retrieval," in Proc. ACM SIGIR 2004.
12. R. Nallapati, "Discriminative models for information retrieval," in Proc. ACM SIGIR 2004.
13. B. Chen, "Word topic models for spoken document retrieval and transcription," ACM Transactions on Asian Language Information Processing, March 2009.
14. Y.T. Chen, et al., "A probabilistic generative framework for extractive broadcast news speech summarization," IEEE Trans. Audio, Speech and Language Processing 17(1), 2009.
15. T. Chia et al., "A lattice-based approach to query-by-example spoken document retrieval," in Proc. ACM SIGIR 2008.