Speech Quality Assessment and Control in Indian Languages

Abstract

Speech quality evaluation and control is an interdisciplinary field that incorporates techniques from signal processing, linguistics, and cognitive psychology. Speech quality assessment aims to measure a speech signal's quality in terms of a variety of factors, including understandability, naturalness, and listener satisfaction. Speech control, on the other hand, seeks to improve the quality of a speech signal through the use of various techniques such as noise reduction, equalization, and compression. Speech quality assessment and control in Indian languages can be used for a variety of applications such as speech recognition, text-to-speech synthesis, and speaker identification. Indian languages are known for their rich phonetic and phonological structures, and it is critical to develop assessment and control methods that take these complexities into account. The wide variety of dialects and languages spoken in India is one of the challenges in assessing and controlling speech quality in Indian languages. India is a multilingual country with over 21 officially recognized languages and thousands of dialects. Because each language has its own phonetic and phonological structure, developing a single method that works for all Indian languages can be difficult. Another issue is the scarcity of speech data and resources in Indian languages. The lack of large speech corpora and standard datasets for Indian languages can make developing and evaluating speech quality assessment and control methods for these languages difficult. Overall, speech quality assessment and control in Indian languages is a difficult but important area of research that has the potential to significantly impact the development of speech-based systems and applications for Indian languages.