NDLI: Auditory-based robust speech recognition system for ambient assisted living in smart home

Content Provider	IEEE Xplore Digital Library
Author	Hsien-Shun Kuo Po-Hsun Sung Sheng-Chieh Lee Ta-Wen Kuan Jhing-Fa Wang
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan (Hsien-Shun Kuo; Po-Hsun Sung; Sheng-Chieh Lee; Ta-Wen Kuan; Jhing-Fa Wang)
Abstract	An auditory-based feature extraction algorithm is proposed for enhancing the robustness of automatic speech recognition. In the proposed approach, the speech signal is characterized using a new feature referred to as the Basilar-membrane Frequency-band Cepstral Coefficient (BFCC). In contrast to the conventional Mel-Frequency Cepstral Coefficient (MFCC) method based on a Fourier spectrogram, the proposed BFCC method uses an auditory spectrogram based on a gammachirp wavelet transform in order to more accurately mimic the auditory response of the human ear and improve the noise immunity. In addition, a Hidden Markov Model (HMM) is used for both training and testing purposes. The evaluation results obtained using the AURORA 2 noisy speech database show that compared to the MFCC method, the proposed scheme improves the speech recognition rate by 15% on average given speech samples with Siganl-to-Noise Ratios (SNRs) ranging from 0 to 20 dB. Thus, the proposed method has significant potential for the development of robust speech recognition systems for ambient assisted living.
Starting Page	169
Ending Page	172
File Size	2062498
Page Count	4
File Format	PDF
ISBN	9781479962846
DOI	10.1109/ICOT.2014.6956626
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Ambient assisted living Noise Speech recognition Speech Robustness Auditory modeling Gammachirp filterbank speech recognition Mel frequency cepstral coefficient Cepstral coefficients
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@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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