Enhancing the Quality of Nepali Text-to-Speech Systems

Abstract

In this paper, we examine the research conducted in the field of Nepali Automatic Speech Recognition (ASR). The primary objective of this survey is to conduct a comprehensive review of the works on Nepali Automatic Speech Recognition Systems completed to date, explore the different datasets used, examine the technology utilized, and take account of the obstacles encountered in implementing the Nepali ASR system.In tandem with the global trends of ever-increasing research on speech recognition based research, the number of Nepalese ASR-related projects are also growing. Nevertheless, the investigation of language and acoustic models of the Nepali language has not received adequate attention compared to languages that possess ample resources. In this context, we provide a framework as well as directions for future investigations.

Building a natural sounding Text-To-Speech system for the Nepali language: research and development challenges and solutions

“…But it is not as natural and smooth as the speech synthesizers based on human speech recordings. Apart from this, there has been a number of research and study conducted in the field of Nepali TTS using concatenative speech synthesis approach (Ghimire and Bal, 2017;Chettri and Sah, 2013).…”