Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?
PositiveArtificial Intelligence
A new study explores the effectiveness of automatic speech recognition (ASR) models in understanding regional dialects, particularly for low-resource languages like Bengali. Researchers have developed a comprehensive 78-hour annotated speech corpus called Ben-10 to analyze how dialectal variations impact ASR performance. This research is significant as it aims to enhance speech recognition technology, making it more inclusive and effective for diverse linguistic communities.
— Curated by the World Pulse Now AI Editorial System
