Using Vector Quantization Technique in Recognition of Gurbani Hymns (Japji Sahib): LBG Algorithm (VQ)
Sakshi Dua1, Amit Kamra2
1Sakshi Dua*, Research Scholar, IKG-PTU, Punjab, India.
2Amit Kamra, Assistant Professor, GNDEC, Punjab, India
Manuscript received on July 25, 2019. | Revised Manuscript received on August 30, 2019. | Manuscript published on August 30, 2019. | PP: 4708-4713 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8667088619/2019©BEIESP | DOI: 10.35940/ijeat.F8667.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An improved and different variation of Automatic Speech Recognition (ASR) is presented which is based on Vector Quantization (VQ). ASR for different languages and different applications has been introduced so far. In this paper, we have presented a Speech Recognition system to recognize the hymns (paath) of Gurbani (sentences of Japji Sahib) as continuous mode of speech. For this, speech corpus has been generated in which the entire path has been recited by different speakers. The speech mode here can be taken as continuous speech encapsulated with background music and different kinds of additional noises and have been eliminated. The work has been done by using VQ approach of speech recognition and LBG algorithm which design optimal codebooks for the process of recognition. Experimental results are included which show that recognition accuracy for such system was found to be 92.6% and 95.8% for different and same speakers with different and same sentences.
Keywords: Automatic Speech Recognition (ASR), Vector Quantization (VQ).