conftrace_

Lin-shan Lee

15 papers · 2009–2024 · 4 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (4) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (15)
🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (15) 🌟 Keyword Trendsetter Combo (3) 🧬 Topic Evolution 🤝 Dynamic Duo (12) 🔥 Unstoppable (7) 💎 Century Club (15) 🚀 Conference Pioneer 🗃️ Keyword Collector (58)

Conferences

INTERSPEECH (12) ACL (1) IJCNLP (1) NIPS (1)

Papers

REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR NIPS 2024 DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering INTERSPEECH 2022 Towards Lifelong Learning of End-to-End ASR INTERSPEECH 2021 SpeechBERT: An Audio-and-Text Jointly Learned Language Model for End-to-End Spoken Question Answering INTERSPEECH 2020 Doing Something we Never could with Spoken Language Technologies-from early days to the era of deep learning INTERSPEECH 2020 Completely Unsupervised Phoneme Recognition by a Generative Adversarial Network Harmonized with Iteratively Refined Hidden Markov Models INTERSPEECH 2019 Improved Speech Separation with Time-and-Frequency Cross-Domain Joint Embedding and Clustering INTERSPEECH 2019 Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations INTERSPEECH 2018 Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings INTERSPEECH 2018 Order-Preserving Abstractive Summarization for Spoken Content Based on Connectionist Temporal Classification INTERSPEECH 2017 Interactive Spoken Content Retrieval by Deep Reinforcement Learning INTERSPEECH 2016 Audio Word2Vec: Unsupervised Learning of Audio Segment Representations Using Sequence-to-Sequence Autoencoder INTERSPEECH 2016 Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine INTERSPEECH 2016 Discriminative Lexicon Adaptation for Improved Character Accuracy - A New Direction in Chinese Language Modeling ACL 2009 Discriminative Lexicon Adaptation for Improved Character Accuracy - A New Direction in Chinese Language Modeling IJCNLP 2009