DISPLACE-2024 Dataset
Creators
- KALLURI, SHAREEF BABU (Researcher)1
- Baghel,, Shikha (Researcher)2
- Chowdhuri, Pratik Roy (Researcher)2
- Singh, Prachi (Research group)1
- Ramoji, Shreyas (Research group)1
- Jain, Somil (Data collector)2
- Sidharth (Data collector)
- Ranjana, H (Data collector)
- Vijayasenan, Deepu (Supervisor)2
- Ganapathy, Sriram (Supervisor)1
Description
Inspired by the previous session of DISPLACE 2023 challenge, we have launched the DISPLACE 2024 challenge (https://displace2024.github.io/). Compared to the first DISPLACE challenge, the current challenge includes an additional track on automatic speech recognition (ASR) in code-switched multi-accent conversational scenarios along with speaker and language diarization tracks. We release supervised data for exploring new directions on multilingual multispeaker, multi accent conversational data. To the best of our knowledge, no publicly available dataset matches the diverse characteristics observed in the DISPLACE dataset, including code-mixing/switching, natural overlaps, reverberation, and noise. 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 2024 - "Speech and Beyond" in its true sense.
The dataset can be obtained by orgainisers by sending the request form and duly signed the terms and condtions
Link for registration for obtaining the data : Registration Link
Files
Additional details
Additional titles
- Alternative title
- The Second DISPLACE Challenge data
Related works
- Is new version of
- Conference proceeding: https://www.isca-archive.org/interspeech_2023/baghel23_interspeech.pdf (URL)
- Journal: https://doi.org/10.1016/j.specom.2024.103080 (URL)
Software
- Repository URL
- https://github.com/displace2024/Displace2024_baseline
- Programming language
- Shell, Python