SCOPUS 정보 검색 플랫폼

6th European Conference on Speech Communication and Technology, EUROSPEECH 1999

Volumn , Issue , 1999, Pages 1507-1510

TAIL DISTRIBUTION MODELLING USING THE RICHTER AND POWER EXPONENTIAL DISTRIBUTIONS

(2) Gales, M J F a Olsen, P A a

a IBM T J WATSON RESEARCH CENTER (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; SPEECH COMMUNICATION; SPEECH RECOGNITION;

DISTRIBUTION MODELS; GAUSSIAN COMPONENTS; GAUSSIAN MIXTURE MODEL; HMM-BASED; OBSERVED DATA; POWER EXPONENTIAL DISTRIBUTION; SPEECH RECOGNITION SYSTEMS; STATE DISTRIBUTIONS; SYSTEM USE; TAIL DISTRIBUTION;

DECODING;

EID: 18744387580 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper

Times cited : (6)

References (8)

1
- 0024143412
- Improved hidden Markov models for speech recognition
- X Aubert, H Bourland, Y Kamp, and C J Wellekens. Improved hidden Markov models for speech recognition. Phillips Journal of Research, 43:254-245, 1988.
- (1988) Phillips Journal of Research , vol.43 , pp. 254-245
- Aubert, X¹ Bourland, H² Kamp, Y³ Wellekens, C J⁴

2
- 0006317636
- Research report, T.J.Watson Research Center
- S Basu, C A Micchelli, and P A Olsen. Power exponential densities for the training and classification of acoustic feature vectors in speech recognition. Research report, T.J.Watson Research Center, 1999.
- (1999) Power exponential densities for the training and classification of acoustic feature vectors in speech recognition
- Basu, S¹ Micchelli, C A² Olsen, P A³

3
- 0003572996
- PhD thesis, IBM T.J. Watson Research Center
- P Brown. The Acoustic-Modelling Problem in Automatic Speech Recognition. PhD thesis, IBM T.J. Watson Research Center, 1987.
- (1987) The Acoustic-Modelling Problem in Automatic Speech Recognition
- Brown, P¹

4
- 0038169324
- Recent improvements to ibm's speech recognition system for automatic transcription of broadcast news
- S S Chen, E M Eide, M J F Gales, R A Gopinath, D Kanevsky, and P Olsen. Recent improvements to ibm's speech recognition system for automatic transcription of broadcast news. In Prodeedings of the Broadcast News Transcription and Understanding Workshop, 1999.
- (1999) Prodeedings of the Broadcast News Transcription and Understanding Workshop
- Chen, S S¹ Eide, E M² Gales, M J F³ Gopinath, R A⁴ Kanevsky, D⁵ Olsen, P⁶

5
- 0032050110
- Maximum likelihood linear transformations for HMM-based speech recognition
- M J F Gales. Maximum likelihood linear transformations for HMM-based speech recognition. Computer Speech and Language, 12:75-98, 1998.
- (1998) Computer Speech and Language , vol.12 , pp. 75-98
- Gales, M J F¹

6
- 0020180460
- Maximum likelihood estimation for multivariate observations of Markov sources
- L A Liporace. Maximum likelihood estimation for multivariate observations of Markov sources. IEEE Transactions Information Theory, 28:729-734, 1982.
- (1982) IEEE Transactions Information Theory , vol.28 , pp. 729-734
- Liporace, L A¹

7
- 0006273783
- Modelling of continuous speech observations
- IBM Europe Institute
- A G Richter. Modelling of continuous speech observations. In Advances in Speech Processing Conference. IBM Europe Institute, 1986.
- (1986) Advances in Speech Processing Conference
- Richter, A G¹

8
- 0001441886
- On the law of frequency of errors
- M Subbotin. On the law of frequency of errors. Mathematicheskii Sbornik, 31:296-301, 1923.
- (1923) Mathematicheskii Sbornik , vol.31 , pp. 296-301
- Subbotin, M¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.