SCOPUS 정보 검색 플랫폼

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

Volumn 6, Issue , 2000, Pages 3434-3437

Speech recognition using temporally connected kernels in mixture density hidden Markov models

(1) Somervuo, Panu a

a AALTO UNIVERSITY (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP NEURAL NETWORKS; HIDDEN MARKOV MODELS; MARKOV PROCESSES; SIGNAL PROCESSING; SPEECH; TRELLIS CODES; ALGORITHMS; DECODING; FEATURE EXTRACTION; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; PROBABILITY DENSITY FUNCTION; SPEECH CODING; VECTORS;

DISTANCE COMPUTATION; EMISSION PROBABILITIES; PHONEME RECOGNITION; RECOGNITION ACCURACY; SPEAKER DEPENDENTS; SPEECH RECOGNITION SYSTEMS; SPEECH RECOGNIZER; TIME INFORMATION;

SPEECH RECOGNITION;

GAUSSIAN KERNELS; HIDDEN MARKOV MODELS; SELF ORGANIZING MAPS;

EID: 0033694067 PISSN: 15206149 EISSN: None Source Type: Conference Proceeding
DOI: 10.1109/ICASSP.2000.860139 Document Type: Conference Paper

Times cited : (1)

References (8)

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- Kohonen, T.¹

2
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- Springer, Berlin
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- Kohonen, T.¹

3
- 0030374891
- Using the self-organizing map to speed up the probability density estimation for speech recognition with mixture density HMMs
- Philadelphia, PA, USA
- M. Kurimo and P. Somervuo. "Using the Self-Organizing Map to Speed Up the Probability Density Estimation for Speech Recognition with Mixture Density HMMs". International Conference on Spoken Language Processing, Philadelphia, PA, USA, pp. 358-361, 1996.
- (1996) International Conference on Spoken Language Processing , pp. 358-361
- Kurimo, M.¹ Somervuo, P.²

4
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- PhD thesis, Helsinki University of Technology, Finland
- M. Kurimo. "Using Self-Organizing Maps and Learning Vector Quantization for Mixture Density Hidden Markov Models". PhD thesis, Helsinki University of Technology, Finland, 1997.
- (1997) Using Self-organizing Maps and Learning Vector Quantization for Mixture Density Hidden Markov Models
- Kurimo, M.¹

5
- 0028419776
- Mapping context dependent acoustic information into context independent form by LVQ
- J. Mäntysalo, K. Torkkola, and T. Kohonen. "Mapping context dependent acoustic information into context independent form by LVQ". Speech Communication 14(2):119-130, 1994.
- (1994) Speech Communication , vol.14 , Issue.2 , pp. 119-130
- Mäntysalo, J.¹ Torkkola, K.² Kohonen, T.³

6
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- A tutorial on hidden Markov models and selected applications in speech recognition
- L. Rabiner. "A tutorial on hidden Markov models and selected applications in speech recognition". Proceedings of the IEEE, 77(2):257-286, 1989.
- (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
- Rabiner, L.¹

7
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- Master's Thesis, Helsinki University of Technology, Finland
- P. Somervuo. "Speech recognition using context vectors and multiple feature streams". Master's Thesis, Helsinki University of Technology, Finland, 1996.
- (1996) Speech Recognition Using Context Vectors and Multiple Feature Streams
- Somervuo, P.¹

8
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- Time topology for the self-organizing map
- Washington DC, USA, July
- P. Somervuo. "Time Topology for the Self-Organizing Map", international Joint Conference on Neural Networks. Washington DC, USA, July 1999.
- (1999) International Joint Conference on Neural Networks
- Somervuo, P.¹

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