Dhruv Rathi

TOWARDS ORTHOGRAPHICALLY-INFORMED EVALUATION OF SPEECH RECOGNITION SYSTEMS FOR INDIAN LANGUAGES

Evaluating ASR systems for Indian languages is challenging due to spelling variations, suffix splitting flexibility, and non-standard spellings in code-mixed words. Traditional Word Error Rate (WER) often presents a bleaker picture of system performance than what human users perceive. Better alignin…