Significant research has been conducted during the last decade on the application of
machine learning for speech processing, particularly speech recognition. However, in recent …

Research and development of speech technology applications in low-resource languages
(LRL) are challenging due to the non-availability of proper speech corpus. Especially, for …

In this paper we discuss an in-progress work on the development of a speech corpus for four
low-resource Indo-Aryan languages--Awadhi, Bhojpuri, Braj and Magahi using the field …

This chapter presents a corpus named CoRePooL that stands for Corpus for Resource‐Poor
Languages. As voice‐specific human‐machine interaction applications are accelerated by …

Automatic Speech Recognition (ASR) systems have made significant advancements in the
context of high-resource languages, primarily attributable to the abundant availability of …

In computer assisted pronunciation training (CAPT), robust automatic models are critical for
pronunciation assessment and mispronunciation detection and diagnosis (MDD). In the …

This paper presents an indigenous work of text and speech data collection and organization
in the agriculture domain and developing a structured Agriculture Knowledge Repository …

The preparation of speech corpora for languages un (der) represented on the web largely
depends on the manual methods of data collection and processing from different sources …

The situation prevalent due to Covid-19 has affected the traditional speech database
collection process by reaching out persons in one-to-one manner. In this paper, we describe …