English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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

Using Vector Quantization Technique in Recognition of Gurbani Hymns (Japji Sahib): LBG Algorithm (VQ)