کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535758 870374 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Aging speech recognition with speaker adaptation techniques: Study on medium vocabulary continuous Bengali speech
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Aging speech recognition with speaker adaptation techniques: Study on medium vocabulary continuous Bengali speech
چکیده انگلیسی

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.


► We have developed a automatic speech recognition system in Bengali for aged population.
► We have analyzed phoneme and word recognition performance of aged people employing several acoustic model.
► We have combined speaker normalization and model adaptation techniques to improve recognition performance.
► We have find out more affected phone which motivate us to incorporate these finding in acoustic model creation in future.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 34, Issue 3, 1 February 2013, Pages 335–343
نویسندگان
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