Application of hidden Markov models to automatic speech endpoint detection
- 31 December 1987
- journal article
- Published by Elsevier in Computer Speech & Language
- Vol. 2 (3-4) , 321-341
- https://doi.org/10.1016/0885-2308(87)90015-5
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Improved speech recognition in noisePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Speech recognition in the F-16 cockpit using principal spectral componentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A Segmentalk-Means Training Procedure for Connected Word RecognitionAT&T Technical Journal, 1986
- Recognition of Isolated Digits Using Hidden Markov Models With Continuous Mixture DensitiesAT&T Technical Journal, 1985
- A Study on the Ability to Automatically Recognize Telephone-Quality Speech From Large Customer PopulationsAT&T Technical Journal, 1985
- An Improved Word-Detection Algorithm for Telephone-Quality Speech Incorporating Both Syntactic and Semantic ConstraintsAT&T Bell Laboratories Technical Journal, 1984
- Computers: Speech recognition: Turning theory to practice: New ICs have brought the requisite computer power to speech technology; an evaluation of equipment shows where it stands todayIEEE Spectrum, 1981
- An improved endpoint detector for isolated word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- Isolated and Connected Word Recognition--Theory and Selected ApplicationsIEEE Transactions on Communications, 1981
- Linear Prediction of SpeechPublished by Springer Nature ,1976