This article presents the research work on improving speech recognition systems for the
morphologically complex Malayalam language using subword tokens for language …

This article presents our work on the development of automatic speech recognition system
for Malayalam language. Multilingual transformer models trained on self supervised learning …

Corpus linguistics investigates language using extensive text databases. Tools assist
researchers in analyzing, extracting, and interpreting linguistic information efficiently …

Recently, automatic speech recognition (ASR) systems have made remarkable progress
and a great leap in this field, resulting in a number of voice assistants like Alexa, Google …

This paper investigates the conventional and syllable-based ASR systems for a low
resource south Indian language, Malayalam. The standard Kaldi frame work is employed …

The world's population is anticipated around 9 billion by 2050, creating a challenge for
traditional farming methods to meet the increasing food demand. Therefore, alternative …

Spelling errors, a commonplace phenomenon among students dominated by those with
learning disabilities, call for effective systems that automatically and accurately identify and …

Orthographical standardization is a milestone in a language's documentation and the
development of its resources. However, texts written in former orthographies remain relevant …

Abstract Currently, grapheme-to-phoneme (G2P) conversion technology is dominated by
two methodologies: knowledge-based and data-based approaches. Knowledge-driven …

Speech is a simple and natural form of communication among humans. With the proliferation
of devices and the widespread availability of the internet, it is essential to have machines …