Speech Recognition for Agriculture Based IVR in Lambadi Language

This research explores the fundamental areas of Lambada linguistics, including phonetics, phonology, morphology, syntax, semantics, and sociolinguistics, based on the researcher's personal experience. The study addresses the intricate challenge of integrating scriptless languages, such as Lambada, into Automatic Speech Recognition (ASR) systems. By focusing on the Lambadi phonemes, the research aims to develop effective strategies for their incorporation into ASR technology. A comprehensive analysis of these phonemes is carried out to improve the accuracy and performance of ASR systems designed specifically for the Lambadi language in agricultural applications.

Autorentext
Dr. Mohan Dholvan is graduated in B.E (ECE) from Osmaia University Hyderabad. He completed M.Tech in Systems and Signal Processing from JNTU Hyderabad and Ph.D in Speech Signal Processing from JNTU, Hyderabad. He has more than 25 years of teaching experience and research experience. His area of interest is Speech signal Processing, Neural Network.