Speech recognition using hidden Markov models: a CMU perspective
Speech Communication
MMIE training of large vocabulary recognition systems
Speech Communication
MAP estimation of continuous density HMM: theory and applications
HLT '91 Proceedings of the workshop on Speech and Natural Language
Efficient cepstral normalization for robust speech recognition
HLT '93 Proceedings of the workshop on Human Language Technology
Speaker normalization on conversational telephone speech
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
A parametric approach to vocal tract length normalization
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
A study of speech recognition for children and the elderly
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Speaker normalization using efficient frequency warping procedures
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01
Improved methods for vocal tract normalization
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Pattern Recognition Letters
Improved automatic speech recognition through speaker normalization
Computer Speech and Language
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Ageing voices: the effect of changes in voice parameters on ASR performance
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on atypical speech
Linear discriminant analysis for improved large vocabulary continuous speech recognition
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Speaker adaptation based on MAP estimation of HMM parameters
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Developing Bengali Speech Corpus for Phone Recognizer Using Optimum Text Selection Technique
IALP '11 Proceedings of the 2011 International Conference on Asian Language Processing
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The article describes the speech recognition system development in Bengali language for aging population with various adaptation techniques. Variability in acoustic characteristics among different speakers degrades speech recognition accuracy. In general, perceptual as well as acoustical variations exists among speakers, but variations are more pronounced between young and aged population. Deviation in voice source features between two age groups, affect the speech recognition performance. Existing automatic speech recognition algorithms demands large amount of training data with all variability to develop a robust speech recognition system. However, speaker normalization and adaptation techniques attempts to reduce inter-speaker or intra-speaker acoustic variability without having large amount of training data. Here, conventional acoustic model adaptation method e.g. vocal tract length normalization, maximum likelihood linear regression and/or maximum a posteriori are combined in the current study to improve recognition accuracy. Moreover, maximum mutual information estimation technique has been implemented in this study.