cluster #7

Papers

• Espnet-tts: Unified, Reproducible, And Integratable Open Source End-to-end Text-to-speech Toolkit (2019)
  Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, et al.
  23.32
• Espnet: End-to-end Speech Processing Toolkit (2018)
  Shinji Watanabe, Takaaki Hori, Shigeki Karita, et al.
  22.17
• Libritts: A Corpus Derived From Librispeech For Text-to-speech (2019)
  Heiga Zen, Viet Dang, Rob Clark, et al.
  20.79
• The 2020 Espnet Update: New Features, Broadened Applications, Performance Improvements, And Future Plans (2020)
  Shinji Watanabe, Florian Boyer, Xuankai Chang, et al.
  18.20
• Mintrec: A New Dataset For Multimodal Intent Recognition (2022)
  Hanlei Zhang, Hua Xu, Xin Wang, et al.
  17.08
• Speechgpt: Empowering Large Language Models With Intrinsic Cross-modal Conversational Abilities (2023)
  Dong Zhang, Shimin Li, Xin Zhang, et al.
  16.59
• Direct Speech-to-speech Translation With A Sequence-to-sequence Model (2019)
  Ye Jia, Ron J. Weiss, Fadi Biadsy, et al.
  15.13
• Large-scale Multilingual Speech Recognition With A Streaming End-to-end Model (2019)
  Anjuli Kannan, Arindrima Datta, Tara N. Sainath, et al.
  14.97
• Towards End-to-end Spoken Language Understanding (2018)
  Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, et al.
  14.73
• Recent Advances In Speech Language Models: A Survey (2024)
  Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.
  14.64
• Token-level Contrastive Learning With Modality-aware Prompting For Multimodal Intent Recognition (2023)
  Qianrui Zhou, Hua Xu, Hao Li, et al.
  14.17
• Bytes Are All You Need: End-to-end Multilingual Speech Recognition And Synthesis With Bytes (2018)
  Bo Li, Yu Zhang, Tara Sainath, et al.
  14.15
• AGIF: An Adaptive Graph-interactive Framework For Joint Multiple Intent Detection And Slot Filling (2020)
  Libo Qin, Xiao Xu, Wanxiang Che, et al.
  14.11
• Direct Speech-to-speech Translation With Discrete Units (2021)
  Ann Lee, Peng-Jen Chen, Changhan Wang, et al.
  13.97
• Dual-decoder Transformer For Joint Automatic Speech Recognition And Multilingual Speech Translation (2020)
  Hang Le, Juan Pino, Changhan Wang, et al.
  13.73
• Textless Speech-to-speech Translation On Real Data (2021)
  Ann Lee, Hongyu Gong, Paul-Ambroise Duquenne, et al.
  13.65
• Joint Online Spoken Language Understanding And Language Modeling With Recurrent Neural Networks (2016)
  Bing Liu, Ian Lane
  13.28
• Cm-net: A Novel Collaborative Memory Network For Spoken Language Understanding (2019)
  Yijin Liu, Fandong Meng, Jinchao Zhang, et al.
  13.28
• From Audio To Semantics: Approaches To End-to-end Spoken Language Understanding (2018)
  Parisa Haghani, Arun Narayanan, Michiel Bacchiani, et al.
  13.23
• Emotion Rendering For Conversational Speech Synthesis With Heterogeneous Graph-based Context Modeling (2023)
  Rui Liu, Yifan Hu, Yi Ren, et al.
  13.15
• Leveraging Weakly Supervised Data To Improve End-to-end Speech-to-text Translation (2018)
  Ye Jia, Melvin Johnson, Wolfgang MacHerey, et al.
  13.05
• Multimodal Machine Translation Through Visuals And Speech (2019)
  Umut Sulubacak, Ozan Caglayan, Stig-Arne Grönroos, et al.
  12.68
• Speechbert: An Audio-and-text Jointly Learned Language Model For End-to-end Spoken Question Answering (2019)
  Yung-Sung Chuang, Chi-Liang Liu, Hung-Yi Lee, et al.
  12.33
• A Novel Bi-directional Interrelated Model For Joint Intent Detection And Slot Filling (2019)
  Haihong E, Peiqing Niu, Zhongfu Chen, et al.
  12.33
• On The End-to-end Solution To Mandarin-english Code-switching Speech Recognition (2018)
  Zhiping Zeng, Yerbolat Khassanov, van Tung Pham, et al.
  12.10
• Rate-adaptive Coding Mechanism For Semantic Communications With Multi-modal Data (2023)
  Yangshuo He, Guanding Yu, Yunlong Cai
  11.93
• Speech Translation And The End-to-end Promise: Taking Stock Of Where We Are (2020)
  Matthias Sperber, Matthias Paulik
  11.93
• Open Source Magicdata-ramc: A Rich Annotated Mandarin Conversational(ramc) Speech Dataset (2022)
  Zehui Yang, Yifan Chen, Lei Luo, et al.
  11.93
• Voxinstruct: Expressive Human Instruction-to-speech Generation With Unified Multilingual Codec Language Modelling (2024)
  Yixuan Zhou, Xiaoyu Qin, Zeyu Jin, et al.
  11.81
• A General Multi-task Learning Framework To Leverage Text Data For Speech To Text Tasks (2020)
  Yun Tang, Juan Pino, Changhan Wang, et al.
  11.67
• STEMM: Self-learning With Speech-text Manifold Mixup For Speech Translation (2022)
  Qingkai Fang, Rong Ye, Lei Li, et al.
  11.58
• Sd-eval: A Benchmark Dataset For Spoken Dialogue Understanding Beyond Words (2024)
  Junyi Ao, Yuancheng Wang, Xiaohai Tian, et al.
  11.32
• SALM: Speech-augmented Language Model With In-context Learning For Speech Recognition And Translation (2023)
  Zhehuai Chen, He Huang, Andrei Andrusenko, et al.
  11.29
• Code-switched Language Models Using Neural Based Synthetic Data From Parallel Sentences (2019)
  Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu, et al.
  11.29
• Large Language Model Can Transcribe Speech In Multi-talker Scenarios With Versatile Instructions (2024)
  Lingwei Meng, Shujie Hu, Jiawen Kang, et al.
  11.23
• Syntactic And Semantic Features For Code-switching Factored Language Models (2017)
  Heike Adel, Ngoc Thang Vu, Katrin Kirchhoff, et al.
  11.19
• Transformer-transducers For Code-switched Speech Recognition (2020)
  Siddharth Dalmia, Yuzong Liu, Srikanth Ronanki, et al.
  10.97
• Improving Speech Translation By Understanding And Learning From The Auxiliary Text Translation Task (2021)
  Yun Tang, Juan Pino, Xian Li, et al.
  10.97
• A Crowdsourced Open-source Kazakh Speech Corpus And Initial Speech Recognition Baseline (2020)
  Yerbolat Khassanov, Saida Mussakhojayeva, Almas Mirzakhmetov, et al.
  10.85
• Enhanced Direct Speech-to-speech Translation Using Self-supervised Pre-training And Data Augmentation (2022)
  Sravya Popuri, Peng-Jen Chen, Changhan Wang, et al.
  10.85
• Curriculum-based Transfer Learning For An Effective End-to-end Spoken Language Understanding And Domain Portability (2019)
  Antoine Caubrière, Natalia Tomashenko, Antoine Laurent, et al.
  10.74
• Speechut: Bridging Speech And Text With Hidden-unit For Encoder-decoder Based Speech-text Pre-training (2022)
  Ziqiang Zhang, Long Zhou, Junyi Ao, et al.
  10.74
• Llast: Improved End-to-end Speech Translation System Leveraged By Large Language Models (2024)
  Xi Chen, Songyang Zhang, Qibing Bai, et al.
  10.67
• Data Augmentation For Spoken Language Understanding Via Joint Variational Generation (2018)
  Kang Min Yoo, Youhyun Shin, Sang-Goo Lee
  10.61
• Synchronous Speech Recognition And Speech-to-text Translation With Interactive Decoding (2019)
  Yuchen Liu, Jiajun Zhang, Hao Xiong, et al.
  10.48
• Stacked Acoustic-and-textual Encoding: Integrating The Pre-trained Models Into Speech Translation Encoders (2021)
  Chen Xu, Bojie Hu, Yanyang Li, et al.
  10.48
• Towards Speech-to-text Translation Without Speech Recognition (2017)
  Sameer Bansal, Herman Kamper, Adam Lopez, et al.
  10.35
• SPLAT: Speech-language Joint Pre-training For Spoken Language Understanding (2020)
  Yu-An Chung, Chenguang Zhu, Michael Zeng
  10.35
• Gl-clef: A Global-local Contrastive Learning Framework For Cross-lingual Spoken Language Understanding (2022)
  Libo Qin, Qiguang Chen, Tianbao Xie, et al.
  10.35
• Leveraging Pseudo-labeled Data To Improve Direct Speech-to-speech Translation (2022)
  Qianqian Dong, Fengpeng Yue, Tom Ko, et al.
  10.33