ASRU 2023 — accepted papers
ASRU 2023 is the 2023 edition of the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). OpenAlex lists 190 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition ↗Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman et al.92 citations
- On Decoder-Only Architecture For Speech-to-Text and Large Language Model Integration ↗Jian Wu, Yashesh Gaur, Zhuo Chen et al.82 citations
- Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting ↗Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu et al.57 citations
- The Singing Voice Conversion Challenge 2023 ↗Wen-Chin Huang, Lester Phillip Violeta, Songxiang Liu et al.49 citations
- Joint Audio and Speech Understanding ↗Yuan Gong, Alexander H. Liu, Hongyin Luo et al.48 citations
- Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition ↗Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen et al.42 citations
- Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data ↗Yifan Peng, Jinchuan Tian, Brian Yan et al.39 citations
- The Voicemos Challenge 2023: Zero-Shot Subjective Speech Quality Prediction for Multiple Domains ↗Erica Cooper, Wen-Chin Huang, Yu Tsao et al.31 citations
- TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch ↗Jeff Hwang, Moto Hira, Caroline Chen et al.31 citations
- SLM: Bridge the Thin Gap Between Speech and Text Foundation ModelsMingqiu Wang, Wei Han, Izhak Shafran J et al.30 citations · our summary
All accepted papers (190)
- Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition ↗Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman et al.92 citations
- On Decoder-Only Architecture For Speech-to-Text and Large Language Model Integration ↗Jian Wu, Yashesh Gaur, Zhuo Chen et al.82 citations
- Generative Speech Recognition Error Correction With Large Language Models and Task-Activating Prompting ↗Chao-Han Huck Yang, Yile Gu, Yi-Chieh Liu et al.57 citations
- The Singing Voice Conversion Challenge 2023 ↗Wen-Chin Huang, Lester Phillip Violeta, Songxiang Liu et al.49 citations
- Joint Audio and Speech Understanding ↗Yuan Gong, Alexander H. Liu, Hongyin Luo et al.48 citations
- Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition ↗Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen et al.42 citations
- Reproducing Whisper-Style Training Using An Open-Source Toolkit And Publicly Available Data ↗Yifan Peng, Jinchuan Tian, Brian Yan et al.39 citations
- The Voicemos Challenge 2023: Zero-Shot Subjective Speech Quality Prediction for Multiple Domains ↗Erica Cooper, Wen-Chin Huang, Yu Tsao et al.31 citations
- TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch ↗Jeff Hwang, Moto Hira, Caroline Chen et al.31 citations
- SLM: Bridge the Thin Gap Between Speech and Text Foundation ModelsMingqiu Wang, Wei Han, Izhak Shafran J et al.30 citations · our summary
- Av-Data2Vec: Self-Supervised Learning of Audio-Visual Speech Representations with Contextualized Target Representations ↗Jiachen Lian, Alexei Baevski, Wei-Ning Hsu et al.28 citations
- Toward Universal Speech Enhancement For Diverse Input Conditions ↗Wangyou Zhang, Kohei Saijo, Zhong-Qiu Wang et al.28 citations
- Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation ↗Marvin Lavechin, Marianne Métais, Hadrien Titeux et al.26 citations
- ECAPA2: A Hybrid Neural Network Architecture and Training Strategy for Robust Speaker Embeddings ↗Jenthe Thienpondt, Kris Demuynck23 citations
- Prompting Large Language Models for Zero-Shot Domain Adaptation in Speech Recognition ↗Yuang Li, Yu Wu, Jinyu Li et al.21 citations
- Speech Emotion Diarization: Which Emotion Appears When? ↗Yingzhi Wang, Mirco Ravanelli, Alya Yacoubi17 citations
- LE-SSL-MOS: Self-Supervised Learning MOS Prediction with Listener Enhancement ↗Zili Qi, Xinhui Hu, Wangjin Zhou et al.16 citations
- Using Joint Training Speaker Encoder With Consistency Loss to Achieve Cross-Lingual Voice Conversion and Expressive Voice Conversion ↗Houjian Guo, Chaoran Liu, Carlos Toshinori Ishi et al.16 citations
- MelHuBERT: A Simplified Hubert on Mel Spectrograms ↗Tzu-Quan Lin, Hung-yi Lee, Hao Tang15 citations
- Yodas: Youtube-Oriented Dataset for Audio and Speech ↗Xinjian Li, Shinnosuke Takamichi, Takaaki Saeki et al.15 citations
- Zero-Shot Domain-Sensitive Speech Recognition with Prompt-Conditioning Fine-Tuning ↗Feng-Ting Liao, Yung-Chieh Chan, Yi‐Chang Chen et al.13 citations
- E3 TTS: Easy End-to-End Diffusion-Based Text To Speech ↗Yuan Gao, Nobuyuki Morioka, Yu Zhang et al.12 citations
- Scenario-Aware Audio-Visual TF-Gridnet for Target Speech Extraction ↗Zexu Pan, Gordon Wichern, Yoshiki Masuyama et al.12 citations
- Transduce and Speak: Neural Transducer for Text-To-Speech with Semantic Token Prediction ↗Minchan Kim, Myeonghun Jeong, Byoung Jin Choi et al.11 citations
- Vits-Based Singing Voice Conversion Leveraging Whisper and Multi-Scale F0 Modeling ↗Ziqian Ning, Yuepeng Jiang, Zhichao Wang et al.11 citations
See all 190 papers in ASRU 2023 — accepted papers →
Papers with our summary in our library (2)
- SLM: Bridge the thin gap between speech and text foundation modelsIEEE Automatic Speech Recognition and Understanding Workshop (ASRU)Mingqiu Wang, Wei Han, Izhak Shafran, et al.2023 · 54 citations
Top topics
Language models & pretraining (1)Speech & spoken language (1)Multilingual & cross-lingual NLP (1)English (1)
Fields
Arts and Humanities (2)Computer Science (2)
Top authors
🧑🔬Chung-Cheng Chiu1 work here · 54 citations🧑🔬Izhak Shafran1 work here · 54 citations🧑🔬Paul Kishan Rubenstein1 work here · 54 citations🧑🔬Wei Han1 work here · 54 citations🧑🔬Yu Zhang1 work here · 54 citations🧑🔬Yuan Cao1 work here · 54 citations
Top institutions
🏢GoogleMountain View ·
United States1 work here🎓Moscow Institute of Physics and TechnologyDolgoprudny ·
Russia1 work here🏢Google DeepMindLondon ·
United Kingdom1 work here
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