CHiME Challenge

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CHiME Challenge

CHiME Challenge

@chimechallenge

This is the official Twitter account of the CHiME challenge project. Check https://t.co/V1dx706rlo

Katılım Haziran 2022
226 Takip Edilen223 Takipçiler
CHiME Challenge retweetledi
Shinji Watanabe
Shinji Watanabe@shinjiw_at_cmu·
Heading to #Interspeech2025! I’ll be involved in a tutorial, regular and special sessions (22 papers) & MLC-SLM workshop — and excited to chat about our new project: ESPnet3, CHiME-9, Urgent3, LARC, and YODAS++. If you’re interested, come say hi — let’s collaborate! 🚀
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CHiME Challenge retweetledi
Shinji Watanabe
Shinji Watanabe@shinjiw_at_cmu·
CHiME-9 stated! Please check it!
Paola Garcia@leibnyPaola

@chimechallenge ⭐⭐ We are happy to announce the release of the tasks for the 9th CHiME Speech Separation and Recognition Challenge (CHiME-9). ⚡⚡ Please visit the CHiME Challenge website for details chimechallenge.org ⚡⚡

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CHiME Challenge retweetledi
Paola Garcia
Paola Garcia@leibnyPaola·
@chimechallenge ⭐⭐ We are happy to announce the release of the tasks for the 9th CHiME Speech Separation and Recognition Challenge (CHiME-9). ⚡⚡ Please visit the CHiME Challenge website for details chimechallenge.org ⚡⚡
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CHiME Challenge retweetledi
Shinji Watanabe
Shinji Watanabe@shinjiw_at_cmu·
Hi all, We have one month before the deadline! Please prepare the submission to our special issue "Multi-Speaker, Multi-Microphone, and Multi-Modal Distant Speech Recognition" at Computer Speech & Language. sciencedirect.com/special-issue/…
Shinji Watanabe@shinjiw_at_cmu

We're organizing a special issue at Computer Speech & Language about Multi-Speaker, Multi-Microphone, and Multi-Modal Distant Speech Recognition. Deadline: December 2, 2024 #multi-speaker-multi-microphone-and-multi-modal-distant-speech-recognition" target="_blank" rel="nofollow noopener">sciencedirect.com/journal/comput… @chimechallenge

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CHiME Challenge retweetledi
Shinji Watanabe
Shinji Watanabe@shinjiw_at_cmu·
Now, CHiME workshop!
Shinji Watanabe tweet media
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CHiME Challenge retweetledi
Shinji Watanabe
Shinji Watanabe@shinjiw_at_cmu·
We're organizing a special issue at Computer Speech & Language about Multi-Speaker, Multi-Microphone, and Multi-Modal Distant Speech Recognition. Deadline: December 2, 2024 #multi-speaker-multi-microphone-and-multi-modal-distant-speech-recognition" target="_blank" rel="nofollow noopener">sciencedirect.com/journal/comput… @chimechallenge
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CHiME Challenge retweetledi
Shinji Watanabe
Shinji Watanabe@shinjiw_at_cmu·
We'll have the CHiME-8 webinar! If you're interested in the CHiME-8 challenge, please join! Date: May 20, 2024 Time: 8:00 AM (US - ET) Place: cmu.zoom.us/j/92314209923?…
Shinji Watanabe tweet media
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CHiME Challenge
CHiME Challenge@chimechallenge·
Join the CHiME8 pitching session on Monday, April 15th, at 17:30 at the HSCMA workshop venue (Room 205 at COEX, ICASSP venue). The organizers of the three tracks of this year's edition will briefly introduce their tasks and answer questions. We hope to see you there.
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CHiME Challenge retweetledi
Hillel Taub-Tabib
Hillel Taub-Tabib@hilleltt·
Apparently #SpeechRecognition isn't solved yet! new and important dataset and challenge for distant meeting transcription from @AlonVin and colleagues at @Microsoft and @chimechallenge
Alon Vinnikov@AlonVin

You might think speech recognition is "solved" with models such as @OpenAI’s Whisper, but it's not. Natural conversations with distant microphones still lack effective solutions. To illustrate, on our newly released NOTSOFAR meeting benchmark, Whisper large-v3 with head-mounted mics achieves 9.3% WER (word-error-rate), yet on audio from a distant mic it climbs to 37.4% WER. The culprits are reverberation, noise, and overlapping speech, which interfere with the source signal. What's the missing ingredient? We believe it's datasets. The problem is not amenable to web scraping. Benchmarking datasets are scarce given their complex collection process. Microphone arrays, useful for speech separation, are rarely featured in labeled datasets, necessitating simulation to teach neural networks to utilize such arrays. To bridge the gap our team at @Microsoft has released a benchmarking dataset of 280 recorded meetings, and a 1000-hour simulated training set synthesized for real-world generalization. Join our challenge "NOTSOFAR: Distant Meeting Transcription with a Single Device", part of CHiME-8, to explore these resources and advance the field. Details and registration: aka.ms/chime8 Code and datasets: aka.ms/notsofar

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CHiME Challenge retweetledi
Alon Vinnikov
Alon Vinnikov@AlonVin·
You might think speech recognition is "solved" with models such as @OpenAI’s Whisper, but it's not. Natural conversations with distant microphones still lack effective solutions. To illustrate, on our newly released NOTSOFAR meeting benchmark, Whisper large-v3 with head-mounted mics achieves 9.3% WER (word-error-rate), yet on audio from a distant mic it climbs to 37.4% WER. The culprits are reverberation, noise, and overlapping speech, which interfere with the source signal. What's the missing ingredient? We believe it's datasets. The problem is not amenable to web scraping. Benchmarking datasets are scarce given their complex collection process. Microphone arrays, useful for speech separation, are rarely featured in labeled datasets, necessitating simulation to teach neural networks to utilize such arrays. To bridge the gap our team at @Microsoft has released a benchmarking dataset of 280 recorded meetings, and a 1000-hour simulated training set synthesized for real-world generalization. Join our challenge "NOTSOFAR: Distant Meeting Transcription with a Single Device", part of CHiME-8, to explore these resources and advance the field. Details and registration: aka.ms/chime8 Code and datasets: aka.ms/notsofar
Alon Vinnikov tweet media
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CHiME Challenge retweetledi
Paola Garcia
Paola Garcia@leibnyPaola·
📢⭐️⭐️⭐️@chimechallenge We are pleased to announce that the leaderboard for the tasks is now available online and can be accessed at: huggingface.co/spaces/NOTSOFA…. Additionally, the teams have refined the baselines.
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CHiME Challenge
CHiME Challenge@chimechallenge·
It gives us great pleasure to pre-announce the 8th CHiME Speech Separation and Recognition Challenge (CHiME-8) that will launch in February 2024. CHiME-8 TASKS includes: Task 1 - DASR Task 2 - NOTSOFAR-1 Task 3 - MMCSG Please check #current" target="_blank" rel="nofollow noopener">chimechallenge.org/#current
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CHiME Challenge
CHiME Challenge@chimechallenge·
We're now preparing for the preannouncement of the CHiME-8 challenge. We have exciting tasks. Stay tuned!
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CHiME Challenge retweetledi
Samuele Cornell
Samuele Cornell@SamueleCornell·
The final results for the CHiME-7 Task 1 (Distant Meeting Transcription with Multiple Devices) are out: chimechallenge.org/current/task1/… Congratulations and many thanks to all participants 🎉, it was an arduos challenge (baseline was ~ on par with Whisper large in sub-track). (1)
CHiME Challenge@chimechallenge

The CHiME workshop was finished with great success! Thanks, everyone, for the excellent presentations and discussions! Please remember that the task proposal deadline is September 25th!

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CHiME Challenge
CHiME Challenge@chimechallenge·
We also had a nice tour at the Meta Dublin office after the workshop :)
CHiME Challenge tweet mediaCHiME Challenge tweet media
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CHiME Challenge
CHiME Challenge@chimechallenge·
The CHiME workshop was finished with great success! Thanks, everyone, for the excellent presentations and discussions! Please remember that the task proposal deadline is September 25th!
CHiME Challenge tweet mediaCHiME Challenge tweet mediaCHiME Challenge tweet mediaCHiME Challenge tweet media
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CHiME Challenge retweetledi
Simon Leglaive
Simon Leglaive@SimonLeglaive·
Listening test results and audio examples are out on the challenge website! Congratulations to the Northwestern Polytechnical University and ByteDance team for winning, and many thanks to all participants! We'll soon provide a further analysis of the results. @chimechallenge
Simon Leglaive tweet media
Simon Leglaive@SimonLeglaive

The objective evaluation results for the CHiME-7 UDASE task are now available online! ➡️chimechallenge.org/current/task2/… The listening test 🎧 results will be released during the CHiME-2023 workshop at #INTERSPEECH2023 @chimechallenge @ISCAInterspeech

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