A Holistic Framework for Robust Bangla ASR and Speaker Diarization with Optimized VAD and CTC Alignment

Researchers developed a robust framework for Bangla automatic speech recognition and speaker diarization that can handle long-form audio exceeding 30-60 seconds. The system uses Voice Activity Detection optimization and Connectionist Temporal Classification segmentation to maintain accuracy over extended durations in multi-speaker environments.