cluster #5

Papers

• State-of-the-art Speech Recognition With Sequence-to-sequence Models (2017)
  Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, et al.
  21.01
• Joint Ctc-attention Based End-to-end Speech Recognition Using Multi-task Learning (2016)
  Suyoun Kim, Takaaki Hori, Shinji Watanabe
  20.43
• A Comparative Study On Transformer Vs RNN In Speech Applications (2019)
  Shigeki Karita, Nanxin Chen, Tomoki Hayashi, et al.
  20.07
• Light Gated Recurrent Units For Speech Recognition (2018)
  Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, et al.
  18.90
• Streaming End-to-end Speech Recognition For Mobile Devices (2018)
  Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, et al.
  18.87
• Recent Advances In End-to-end Automatic Speech Recognition (2021)
  Jinyu Li
  18.62
• Transformer Transducer: A Streamable Speech Recognition Model With Transformer Encoders And RNN-T Loss (2020)
  Qian Zhang, Han Lu, Hasim Sak, et al.
  18.58
• Wenet: Production Oriented Streaming And Non-streaming End-to-end Speech Recognition Toolkit (2021)
  Zhuoyuan Yao, di Wu, Xiong Wang, et al.
  17.27
• Contextnet: Improving Convolutional Neural Networks For Automatic Speech Recognition With Global Context (2020)
  Wei Han, Zhengdong Zhang, Yu Zhang, et al.
  17.24
• Phone-to-audio Alignment Without Text: A Semi-supervised Approach (2021)
  Jian Zhu, Cong Zhang, David Jurgens
  16.74
• Advances In Joint Ctc-attention Based End-to-end Speech Recognition With A Deep CNN Encoder And RNN-LM (2017)
  Takaaki Hori, Shinji Watanabe, Yu Zhang, et al.
  16.49
• Transformer-based Acoustic Modeling For Hybrid Speech Recognition (2019)
  Yongqiang Wang, Abdelrahman Mohamed, Duc Le, et al.
  16.30
• An Analysis Of Incorporating An External Language Model Into A Sequence-to-sequence Model (2017)
  Anjuli Kannan, Yonghui Wu, Patrick Nguyen, et al.
  16.25
• Exploring Architectures, Data And Units For Streaming End-to-end Speech Recognition With Rnn-transducer (2018)
  Kanishka Rao, Haşim Sak, Rohit Prabhavalkar
  16.21
• Whispering Llama: A Cross-modal Generative Error Correction Framework For Speech Recognition (2023)
  Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, et al.
  16.15
• Towards Better Decoding And Language Model Integration In Sequence To Sequence Models (2016)
  Jan Chorowski, Navdeep Jaitly
  15.67
• Deep Context: End-to-end Contextual Speech Recognition (2018)
  Golan Pundak, Tara N. Sainath, Rohit Prabhavalkar, et al.
  15.57
• Lighthubert: Lightweight And Configurable Speech Representation Learning With Once-for-all Hidden-unit BERT (2022)
  Rui Wang, Qibing Bai, Junyi Ao, et al.
  15.51
• Personalized Speech Recognition On Mobile Devices (2016)
  Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez, et al.
  15.37
• RWTH ASR Systems For Librispeech: Hybrid Vs Attention -- W/o Data Augmentation (2019)
  Christoph Lüscher, Eugen Beck, Kazuki Irie, et al.
  15.34
• Neural Speech Recognizer: Acoustic-to-word LSTM Model For Large Vocabulary Speech Recognition (2016)
  Hagen Soltau, Hank Liao, Hasim Sak
  15.16
• Paraformer: Fast And Accurate Parallel Transformer For Non-autoregressive End-to-end Speech Recognition (2022)
  Zhifu Gao, Shiliang Zhang, Ian McLoughlin, et al.
  15.10
• A Streaming On-device End-to-end Model Surpassing Server-side Conventional Model Quality And Latency (2020)
  Tara N. Sainath, Yanzhang He, Bo Li, et al.
  15.00
• Exploring Neural Transducers For End-to-end Speech Recognition (2017)
  Eric Battenberg, Jitong Chen, Rewon Child, et al.
  14.90
• Mamba-360: Survey Of State Space Models As Transformer Alternative For Long Sequence Modelling: Methods, Applications, And Challenges (2024)
  Badri Narayana Patro, Vijay Srinivas Agneeswaran
  14.90
• E-branchformer: Branchformer With Enhanced Merging For Speech Recognition (2022)
  Kwangyoun Kim, Felix Wu, Yifan Peng, et al.
  14.66
• A Spelling Correction Model For End-to-end Speech Recognition (2019)
  Jinxi Guo, Tara N. Sainath, Ron J. Weiss
  14.62
• Deep LSTM For Large Vocabulary Continuous Speech Recognition (2017)
  Xu Tian, Jun Zhang, Zejun Ma, et al.
  14.58
• Self-attention Networks For Connectionist Temporal Classification In Speech Recognition (2019)
  Julian Salazar, Katrin Kirchhoff, Zhiheng Huang
  14.55
• Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition (2023)
  Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, et al.
  14.47
• A Comparison Of Techniques For Language Model Integration In Encoder-decoder Speech Recognition (2018)
  Shubham Toshniwal, Anjuli Kannan, Chung-Cheng Chiu, et al.
  14.39
• Minimum Word Error Rate Training For Attention-based Sequence-to-sequence Models (2017)
  Rohit Prabhavalkar, Tara N. Sainath, Yonghui Wu, et al.
  14.35
• Unsupervised Domain Adaptation For Robust Speech Recognition Via Variational Autoencoder-based Data Augmentation (2017)
  Wei-Ning Hsu, Yu Zhang, James Glass
  14.23
• Transformer-based Online Ctc/attention End-to-end Speech Recognition Architecture (2020)
  Haoran Miao, Gaofeng Cheng, Changfeng Gao, et al.
  14.06
• Two-pass End-to-end Speech Recognition (2019)
  Tara N. Sainath, Ruoming Pang, David Rybach, et al.
  13.97
• Large-scale Domain Adaptation Via Teacher-student Learning (2017)
  Jinyu Li, Michael L. Seltzer, Xi Wang, et al.
  13.93
• Efficient Conformer: Progressive Downsampling And Grouped Attention For Automatic Speech Recognition (2021)
  Maxime Burchi, Valentin Vielzeuf
  13.79
• Multi-dialect Speech Recognition With A Single Sequence-to-sequence Model (2017)
  Bo Li, Tara N. Sainath, Khe Chai Sim, et al.
  13.79
• Recognizing Long-form Speech Using Streaming End-to-end Models (2019)
  Arun Narayanan, Rohit Prabhavalkar, Chung-Cheng Chiu, et al.
  13.74
• Fpga-based Low-power Speech Recognition With Recurrent Neural Networks (2016)
  Minjae Lee, Kyuyeon Hwang, Jinhwan Park, et al.
  13.50
• E-RNN: Design Optimization For Efficient Recurrent Neural Networks In Fpgas (2018)
  Zhe Li, Caiwen Ding, Siyue Wang, et al.
  13.50
• Learning From Flawed Data: Weakly Supervised Automatic Speech Recognition (2023)
  Dongji Gao, Hainan Xu, Desh Raj, et al.
  13.45
• Contextualized Streaming End-to-end Speech Recognition With Trie-based Deep Biasing And Shallow Fusion (2021)
  Duc Le, Mahaveer Jain, Gil Keren, et al.
  13.44
• Internal Language Model Estimation For Domain-adaptive End-to-end Speech Recognition (2020)
  Zhong Meng, Sarangarajan Parthasarathy, Eric Sun, et al.
  13.44
• End-to-end Asr-free Keyword Search From Speech (2017)
  Kartik Audhkhasi, Andrew Rosenberg, Abhinav Sethy, et al.
  13.39
• Toward Domain-invariant Speech Recognition Via Large Scale Training (2018)
  Arun Narayanan, Ananya Misra, Khe Chai Sim, et al.
  13.39
• Relaxing The Conditional Independence Assumption Of Ctc-based ASR By Conditioning On Intermediate Predictions (2021)
  Jumon Nozaki, Tatsuya Komatsu
  13.34
• Developing RNN-T Models Surpassing High-performance Hybrid Models With Customization Capability (2020)
  Jinyu Li, Rui Zhao, Zhong Meng, et al.
  13.28
• Back-translation-style Data Augmentation For End-to-end ASR (2018)
  Tomoki Hayashi, Shinji Watanabe, Yu Zhang, et al.
  13.11
• Towards A Unified Conformer Structure: From ASR To ASV Task (2022)
  Dexin Liao, Tao Jiang, Feng Wang, et al.
  13.11