DISPLACE Challenge @ Interspeech-2023

The DIarization of SPeaker and LAnguage in Conversational Environments [DISPLACE] challenge entails a first of kind task to perform speaker and language diarization on the same data, as the data contains multi-speaker social conversations in multi-lingual code-mixed speech. In multi-lingual communities, social conversations frequently involve code-mixed and code-switched speech. In such cases, various speech processing systems need to perform the speaker and language segmentation before any downstream task. The current speaker diarization systems are not equipped to handle multi-lingual conversations, while the language recognition systems may not be able to handle the same talker speaking in multiple languages within the same recording. 

With this motivation, the DISPLACE challenge attempts to benchmark and improve Speaker Diarization (SD) in multi-lingual settings and Language Diarization (LD) in multi-speaker settings, using the same underlying dataset. For this challenge, a natural multi-lingual, multi-speaker conversational dataset will be distributed for development and evaluation purposes. There will be no training data given and the participants will be free to use any resource for training the models. The challenge reflects the theme of Interspeech 2023 - "Inclusive Spoken Language Science and Technology – Breaking Down Barriers" in its true sense.  

Registrations are open for this challenge which will contain two tracks - a) Speaker diarization track and b) Language diarization track. 

For more details, dates and to register, kindly visit the DISPLACE challenge website: https://displace2023.github.io/

We look forward to your team challenging to 'displace' the state-of-the-art in speaker, language diarization.