NDLI: A Robust Digit Recognition Model Research with Low Signal Noise Ratio

Content Provider	IEEE Xplore Digital Library
Author	SuNing He JueBang Yu
Copyright Year	2006
Description	Author affiliation: Southwest Electron. & Telecommun. Tech. Inst., Chengdu (SuNing He)
Abstract	In this article, we absorbed the basic idea of DP in normalizing the temporal evolving characteristics of speech observation vector sequences, and designed a low SNR English digit recognition model based on whole MFCC sequences. Such model not only carries effectively the whole information but also normalizes the digit feature sequences by adjusting dynamically the frame length of each spoken digit, which can adapt the different speaking rates. By using frame time filter and multi sub-spectrum filter, noise interference to the digit can be partly reduced and the model's adaptability to the backgrounds be improved. The experiment shows that the English digit error rate has reduced 30% at least, and 68.71% for best result after adding the new processing modules. In addition, the model is simple in structure and low in computation, and also easy to realize real time processing
Sponsorship	IEEE Circuits and Syst. Soc. HKUST UESTC City Univ. of Hong Kong
Starting Page	553
Ending Page	558
File Size	5488260
Page Count	6
File Format	PDF
ISBN	0780395840
DOI	10.1109/ICCCAS.2006.284697
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Noise reduction Hidden Markov models Speech recognition Ear Speech enhancement Noise robustness Character recognition Mel frequency cepstral coefficient Signal to noise ratio
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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