The DISPLACE challenge 2023-diarization of speaker and language in conversational environments

In multilingual societies, social conversations often involve code-mixed speech. The current speech technology may not be well equipped to extract information from multi-lingual multi- speaker conversations. The DISPLACE challenge entails a first- of-kind task to benchmark speaker and language diarization on the same data, as the data contains multi-speaker conversations in multilingual code-mixed speech. The challenge attempts to highlight outstanding issues in speaker diarization (SD) in mul- tilingual settings with code-mixing. Further, language diariza- tion (LD) in multi-speaker settings also introduces new chal- lenges, where the system has to disambiguate speaker switches with code switches. For this challenge, a natural multilingual, multi-speaker conversational dataset is distributed for develop- ment and evaluation purposes. The systems are evaluated on single-channel far-field recordings. We also release a baseline system and report the highlights of the system submissions.