Robust language diarization in reverberant and noisy environments (01W06619)
Language diarization refers to language recognition and segmentation of code-switched speech. This is critical for multilingual speech recognition systems. To increase the robustness of the diarization system to background interference, multi-channel speech enhancement techniques will be employed. The project aims to (a) develop language diarization system for Indian languages and (b) make it robust by multichannel speech enhancement techniques.