Hybrid wavelet based LPC features for Hindi speech recognition
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Abstract: Hybrid features are presented for speech recognition that uses linear prediction in combination with multi-resolution capabilities of wavelet.
Hybrid wavelet based LPC features for Hindi speech recognition
www.inderscienceonline.com › doi › abs
Mar 24, 2009 · Hybrid features are presented for speech recognition that uses linear prediction in combination with multi-resolution capabilities of ...
Hybrid features are presented for speech recognition that uses linear prediction in combination with multi-resolution capabilities of wavelet transform.
Mar 23, 2009 · Abstract: Hybrid features are presented for speech recognition that uses linear prediction in combination with multi-resolution capabilities of ...
Mentioning: 13 - Hybrid wavelet based LPC features for Hindi speech recognition - Sharma, Aditya, Shrotriya, M. C., Farooq, Omar, Abbasi, Z. A..
In this paper, we propose a new scheme for recognition of isolated words in Hindi Language speech, based on the Discrete Wavelet Transform.
In this paper, Admissible Wavelet Packet (AWP)-based features are proposed for the recognition of isolated Hindi digit. AWPs are used to design a set of ...
Hybrid wavelet based LPC features for Hindi speech recognition. Int. J. Inf. Commun. Technol., 1 (3–4) (2008), pp. 373-381. CrossRef View in Scopus Google ...
A new scheme for recognition of isolated words in Hindi Language speech, based on the Discrete Wavelet Transform, which uses K Means Algorithm on the ...
A new method for feature extraction is presented in this paper for speech recognition using a combination of discrete wavelet transform (DWT) and mel ...