{"id":20195,"date":"2025-03-19T19:54:59","date_gmt":"2025-03-19T19:54:59","guid":{"rendered":"https:\/\/www.hotelsalepage.com\/feed\/cision-pr-newswire\/announcing-the-multilingual-conversational-speech-language-model-mlc-slm-challenge\/"},"modified":"2025-03-19T19:54:59","modified_gmt":"2025-03-19T19:54:59","slug":"announcing-the-multilingual-conversational-speech-language-model-mlc-slm-challenge","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=20195","title":{"rendered":"Announcing the Multilingual Conversational Speech Language Model (MLC-SLM) Challenge"},"content":{"rendered":"

MONROVIA, Calif.<\/span><\/span>, March 19, 2025<\/span><\/span> \/PRNewswire\/ — Nexdata, a leading global provider of AI data services today announces the start of The Multilingual Conversational Speech LLM (MLC-SLM) Challenge, an officially approved satellite event of Interspeech 2025.<\/p>\n

This challenge, hosted by Meta, Google, Samsung, Naver, China Mobile, Northwestern Polytechnical University and Nexdata, aims to advance multilingual conversational speech AI by providing a real-world dataset and encouraging innovation in speech language models.<\/p>\n

The challenge consists of two tasks, both of which require participants to explore the development of speech language models (SLMs):<\/p>\n

Task I: Multilingual Conversational Speech Recognition<\/b><\/p>\n

Objective: Develop a multilingual LLM-based ASR model. Participants will be provided with oracle segmentation and speaker labels for each conversation.<\/p>\n

Task II: Multilingual Conversational Speech Diarization and Recognition<\/b><\/p>\n

Objective: Develop a system for both speaker diarization (identifying who is speaking when), and recognition (transcribing speech to text). No prior or oracle information will be provided during evaluation (e.g., no pre-segmented utterances or speaker labels). Both pipeline-based and end-to-end systems are encouraged, providing flexibility in system design and implementation.<\/p>\n

The training set (Train) comprises approximately 11 languages: English (en), French (fr), German (de)<\/span>, Italian (it), Portuguese (pt), Spanish (es), Japanese (jp), Korean (ko), Russian (ru), Thai (th), Vietnamese (vi). It’s designed to provide a rich resource for training and evaluating multilingual conversational speech language models (MLC-SLM), addressing the challenges of linguistic diversity, speaker variability, and contextual understanding.<\/p>\n

Important Dates (AOT Time)<\/b><\/p>\n

March 10, 2025<\/span>: Registration opens
March 15, 2025<\/span>: Training data release
March 20, 2025<\/span>: Development set and baseline system release
May 15, 2025<\/span>: Evaluation set release and Leaderboard open
May 30, 2025<\/span>: Leaderboard freeze and paper submission portal opens (CMT system)
June 15, 2025<\/span>: Paper submission deadline
July 1, 2025<\/span>: Notification of acceptance
August 18, 2025<\/span>: Workshop date<\/p>\n

We have set a prize pool of $20,000<\/span> for the winners. Based on performance, the top three teams in each track will be awarded:
1st Prize: $5,000<\/span>
2nd Prize: $3,000<\/span>
3rd Prize: $2,000<\/span><\/p>\n

For more details, please check out the challenge website: https:\/\/www.nexdata.ai\/competition\/mlc-slm<\/a>\u00a0<\/p>\n

Participate here: https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSftZCRQQWvO5NZd-bPo1VT2Xsaieu_ZYCklw6MhW6LqjWnuYQ\/viewform?usp=send_form<\/a>\u00a0<\/p>\n

For inquiries:\u00a0mlc-slmw@nexdata.ai<\/a>\u00a0<\/span><\/p>\n

Join us in shaping the future of multilingual conversational AI and be part of this groundbreaking challenge!<\/p>\n

About Nexdata<\/b><\/p>\n

Nexdata provides top-notch training data solutions and serves as your reliable partner. With an extensive array of off-the-shelf datasets and flexible data collection and annotation services, our mission revolves around unleashing AI’s full potential and expediting the AI industry’s growth.<\/p>","protected":false},"excerpt":{"rendered":"

<\/p>\n

MONROVIA, Calif.<\/span><\/span>, March 19, 2025<\/span><\/span> \/PRNewswire\/ — Nexdata, a leading global provider of AI data services today announces the start of The Multilingual Conversational Speech LLM (MLC-SLM) Challenge, an officially approved satellite event of Interspeech 2025.<\/p>\n

This challenge, hosted by Meta, Google, Samsung, Naver, China Mobile, Northwestern Polytechnical University and Nexdata, aims to advance multilingual conversational speech AI by providing a real-world dataset and encouraging innovation in speech language models.<\/p>\n

The challenge consists of two tasks, both of which require participants to explore the development of speech language models (SLMs):<\/p>\n

Task I: Multilingual Conversational Speech Recognition<\/b><\/p>\n

Objective: Develop a multilingual LLM-based ASR model. Participants will be provided with oracle segmentation and speaker labels for each conversation.<\/p>\n

Task II: Multilingual Conversational Speech Diarization and Recognition<\/b><\/p>\n

Objective: Develop a system for both speaker diarization (identifying who is speaking when), and recognition (transcribing speech to text). No prior or oracle information will be provided during evaluation (e.g., no pre-segmented utterances or speaker labels). Both pipeline-based and end-to-end systems are encouraged, providing flexibility in system design and implementation.<\/p>\n

The training set (Train) comprises approximately 11 languages: English (en), French (fr), German (de)<\/span>, Italian (it), Portuguese (pt), Spanish (es), Japanese (jp), Korean (ko), Russian (ru), Thai (th), Vietnamese (vi). It’s designed to provide a rich resource for training and evaluating multilingual conversational speech language models (MLC-SLM), addressing the challenges of linguistic diversity, speaker variability, and contextual understanding.<\/p>\n

Important Dates (AOT Time)<\/b><\/p>\n

March 10, 2025<\/span>: Registration opens
March 15, 2025<\/span>: Training data release
March 20, 2025<\/span>: Development set and baseline system release
May 15, 2025<\/span>: Evaluation set release and Leaderboard open
May 30, 2025<\/span>: Leaderboard freeze and paper submission portal opens (CMT system)
June 15, 2025<\/span>: Paper submission deadline
July 1, 2025<\/span>: Notification of acceptance
August 18, 2025<\/span>: Workshop date<\/p>\n

We have set a prize pool of $20,000<\/span> for the winners. Based on performance, the top three teams in each track will be awarded:
1st Prize: $5,000<\/span>
2nd Prize: $3,000<\/span>
3rd Prize: $2,000<\/span><\/p>\n

For more details, please check out the challenge website: https:\/\/www.nexdata.ai\/competition\/mlc-slm<\/a>\u00a0<\/p>\n

Participate here: https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSftZCRQQWvO5NZd-bPo1VT2Xsaieu_ZYCklw6MhW6LqjWnuYQ\/viewform?usp=send_form<\/a>\u00a0<\/p>\n

For inquiries:\u00a0mlc-slmw@nexdata.ai<\/a>\u00a0<\/span><\/p>\n

Join us in shaping the future of multilingual conversational AI and be part of this groundbreaking challenge!<\/p>\n

About Nexdata<\/b><\/p>\n

Nexdata provides top-notch training data solutions and serves as your reliable partner. With an extensive array of off-the-shelf datasets and flexible data collection and annotation services, our mission revolves around unleashing AI’s full potential and expediting the AI industry’s growth.<\/p>\n

<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-20195","post","type-post","status-publish","format-standard","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/20195","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=20195"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/20195\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=20195"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=20195"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=20195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}