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Project

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.

Date:1 Oct 2019  →  Today
Keywords:Spoken language identification, Language diarization, Multichannel speech enhancement, Multilingual automatic speech recognition