Subspace distribution clustering hidden Markov model

IEEE Transactions on Speech and Audio Processing

Volumn 9, Issue 3, 2001, Pages 264-275

  Bocchieri, Enrico ^a   Mak, Brian Kan Wing ^a,b,c  

^a AT AND T LABS RESEARCH   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Distribution clustering; Hidden Markov modeling; Subspace distribution

Indexed keywords

AIR TRANSPORTATION; ALGORITHMS; CORRELATION METHODS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; SPEECH ANALYSIS; SPEECH CODING;

DISTRIBUTION CLUSTERING; SUBSPACE DISTRIBUTION CLUSTERING HIDDEN MARKOV MODELING;

SPEECH RECOGNITION;

EID: 0035280044     PISSN: 10636676     EISSN: None     Source Type: Journal    
DOI: 10.1109/89.906000     Document Type: Article

References (45)

1. Hamming distance approximation for a fast log-likelihood computation for mixture densities
2. Vector quantization for the efficient computation of continuous density likelihoods
3. An efficient output probability computation for continuous HMM using rough and detail models
4. Decision-tree based quantization of the feature space of a speech recognizer
5. Fast likelihood computation for continuous-mixture densities using a tree-based nearest neighbor search
6. Joint MCE estimation of VQ and HMM parameters for Gaussian mixture selection
7. State based Gaussian selection in large vocabulary continuous speech recognition using HMMs
8. An investigation of Gaussian shortlists
9. Fast match techniques
10. Large-vocabulary speaker-independent continuous speech recognition using HMM
11. Allophone clustering for continuous speech recognition
12. Shared distribution hidden Markov models for speech recognition
13. The use of state tying in continuous speech recognition
14. Tied mixture continuous parameter modeling for speech recognition
15. Semi-continuous hidden Markov models for speech signals
16. A speech recognizer using radial basis function neural networks in an HMM framework
17. Genones: Optimizing the degree of mixture tying in a large vocabulary hidden Markov model based speech recognizer
18. Four-level tied-structure for efficient representation of acoustic modeling
19. Direct training of the context-independent subspace distribution clustering hidden Markov model
20. Maximum likelihood estimation from incomplete data
21. Effects of variance tying for four-level tied structure phone models
22. Split-dimension vector quantization of parcor coefficients for low bit rate speech coding
23. Efficient vector quantization of LPC parameters
24. Distortion performance of vector quantization for LPC voice coding
25. Efficient speech recognition using subvector quantization and discrete-mixture HMMs
26. Clustering via the Bayesian information criterion with applications in speech recognition
27. A discriminant measure for model complexity adaptation
28. Recent improvements to IBM's speech recognition system for automatic speech recognition
29. A speaker-independent continuous speech recognition system using continuous mixture Gaussian density HMM of phoneme-sized units
30. Error bounds for convolutional codes and an asymptotically optimal decoding algorithm
31. Subspace distribution clustering for continuous observation density hidden Markov models
32. Scheme derivation and clustering scheme for subspace distribution clustering hidden Markov model
33. State tying of triphone HMM's for the 1994 AT&T ARPA ATIS recognizer
34. Tree-structured speaker clustering for fast speaker adaptation
35. High-performance alphabet recognition
36. Phone clustering using the Bhattacharyya distance
37. Multi-site data collection and evaluation in spoken language understanding
38. Benchmark tests for the ARPA spoken language program
39. The 1994 AT&T ATIS CHRONUS recognizer