Hung-yi Lee (李宏毅)
@HungyiLee2
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Hung-yi Lee is currently a professor at National Taiwan University. He owns a YouTube channel teaching deep learning in Mandarin.
Joined March 2020
RT @MousaviPooneh: 🚀 We're excited to announce our latest work: "Discrete Audio Tokens: More Than a Survey!" .It presents a comprehensive….
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📢 Deadline Extended! Submit your original research papers to the conference track of the Asian Conference on Machine Learning (ACML 2025) by June 26, 2025!. Join ACML 2025 in Taipei, Taiwan (Dec 9–12). Details:
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🎧 With the rapid growth of audio LLM benchmarking studies, a comprehensive survey is timely! Check out the survey paper on benchmarks in audio LLMs by Chih-Kai Yang and Neo S. Ho. 🔥. Paper link:
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🎙️ Introducing TASTE: a novel audio tokenization approach for speech LLMs, by Liang-Hsuan Tseng (NTU), Yi-Chang Chen (MTK Research), and Kuan-Yi Lee (NTU)!. 🔗 Paper: 📺 Mandarin introduction (from 1:03:30):
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🎙️ Upcoming IEEE SPS SLTC/AASP Webinar!.📅 May 8, 2025 | 🕗 8:00 AM ET.🔹 Topic: Audio Signal Processing with Microphone Arrays.🎤 Speaker: Dr. Sharon Gannot. Register now 👉
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RT @xjchen_ntu: 🚨 Call for Papers – ASRU 2025 Special Session.🎤 Responsible Speech & Audio Generative AI.📍 Honolulu, Hawaii · Dec 2025.Join….
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I will deliver the final talk in the SPS SLTC/AASP TC Webinar Series in 2024, sharing insights on fine-tuning models such as LLaMA and Whisper. 📅 Dec 17, 10 AM ET (11 PM Taiwan). Register:
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RT @shinjiw_at_cmu: We are excited to announce the launch of ML SUPERB 2.0 ( as part of the Interspeech 2024 offici….
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Excited about neural audio codecs and speech LLMs? Don’t miss the Codec-SUPERB @ SLT24 special session, on December 3rd, 15:00–18:30 in Macau!. We’re thrilled to host prominent speakers from cutting-edge projects, including SemantiCodec, BNN, Uniaudio, VoiceCraft, and Moshi.
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I'll be attending the IEEE Spoken Language Technology Workshop (SLT 2024) in Macao from December 2nd to 5th! Looking forward to engaging with fellow researchers and exploring the latest advancements in speech and language processing.
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Check out this new paper using RLAIF to enhance Spoken LLM! Research by NTU PhD student Guan-Ting Lin and Amazon researchers. link:
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🚀 Excited to announce that DeSTA2, a spoken LLM. What's amazing? It's trained on just 150 hours of speech data, beating models with tens of thousands of hours! Shoutout to NTU PhD student Ke-Han Lu & NVIDIA team for leading this!. 👉 Learn more:
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Congratulations to the SUPERB Team! Our work on the Speech Processing Universal PERformance Benchmark (SUPERB) has been ranked 7th among the most cited papers at INTERSPEECH over the past five years! A big round of applause to everyone involved.
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Excited to speak at CHIME 2024, collocated with INTERSPEECH! Join me on Sept 6th, 14:00-15:00, for "Teaching New Skills to Foundation Models: Insights and Experiences." Learn why fine-tuning is more challenging than it seems!. Workshop link:
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I'll give an overview talk on Spoken Language Models at INTERSPEECH 2024! Join me tomorrow, September 3rd, from 13:30 to 14:10 in the "Lasso" room. link of slides:
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Congratulations to Cheng Han Chiang (@dcml0714) for winning the Best Paper Award at the ACL24 Knowledgeable LMs workshop! This paper tackles the issue I mentioned in my course ( — combining correct facts can sometimes result in an incorrect response.
🎉 Very honored and flattered to receive best paper award at the KnowledgeableLM workshop at #ACL2024 .It means A LOT to be granted an award by community members who work on knowledge and LMs. I'll keep working on topics in this direction!.Great collaboration with @HungyiLee2
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RT @ManlingLi_: Congrats to Cheng Han Chiang @dcml0714 and Hung-yi Lee @HungyiLee2 for the Best Paper Award at ACL24 Knowledgeable LMs work….
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The paper "Self-Supervised Speech Representation Learning: A Review" is a top 25 download in IEEE JSTSP! The authors will discuss the latest in speech foundation models. Time: 1:00 PM ET, 6 Aug 2024 .Registration page:
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SPS SLTC/AASP TC Webinar. Don't miss out on recent advances in speech separation, end-to-end modeling, speaker diarization, and more! . Speaker: Dr. Takuya Yoshioka, Director of Research at Assembly AI Inc. Time: 1:00 PM ET, 23 July 2024 .Register here:
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Launched "Intro to Generative AI" course with 1000+ students this spring! Thanks to @dcml0714 for being head TA. Using LLMs to evaluate assignments, inspired by his ACL paper (. Check what we learned:
❗ New Paper❗.📄 In '23, we proposed LLM-as-judge for NLP research.🤔 Any real-world applications?.💯 Now, we use LLM as an automatic assignment evaluator in a course with 1000+ students at National Taiwan University, led by @HungyiLee2 with me as a TA.🔗
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