India is the land of language diversity with 22 major languages having more than 720
dialects, written in 13 different scripts. Out of 22, Hindi, Bengali, Punjabi is ranked 3rd, 7th …

Spoken language is one of the distinctive characteristics of the human race. Spoken
language processing is a branch of computer science that plays an important role in human …

This paper introduces the first set of speech corpora released in 2019 by the Linguistic Data
Consortium for Indian Languages (LDC-IL), a scheme under the Department of Higher …

This paper presents an Automatic Speech Recognition (ASR) system, in the Gujarati
language, developed for Low Resource Speech Recognition Challenge for Indian …

This paper discusses development of resources using linguistics and signal processing
aspects for two low resource Indian languages, viz., Gujarati and Marathi. Speech resource …

In today's world, automatic speech recognition (ASR) is an important task implemented via
machine learning (ML) to assist artificial intelligence (AI). It has diverse applications such as …

Landmarks are the time instants in a speech signal which marks important events (such as
vowels, consonants and glides) in the speech signal. This paper proposes use of novel …

In this research, we employ Wavelet-based feature vectors in Hidden Markov Models to
achieve automatic recognition of isolated Gujarati speech. To do this, we first created a …

Phonetic engine (PE) is a system that converts speech sound units into symbols without any
higher-level information (such as semantic or linguistic details). This paper presents the …

Vocal Tract Length Normalization (VTLN) is used to design vocal tract length normalized
Automatic Speech Recognition (ASR) systems. It has led to improvement in the performance …