Speech Recognition

Papers

• Conv-tasnet: Surpassing Ideal Time-frequency Magnitude Masking For Speech Separation (2018)
  Yi Luo, Nima Mesgarani
  24.08
• Wavlm: Large-scale Self-supervised Pre-training For Full Stack Speech Processing (2021)
  Sanyuan Chen, Chengyi Wang, Zhengyang Chen, et al.
  24.00
• Voxceleb2: Deep Speaker Recognition (2018)
  Joon Son Chung, Arsha Nagrani, Andrew Zisserman
  23.96
• 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
• Dual-path RNN: Efficient Long Sequence Modeling For Time-domain Single-channel Speech Separation (2019)
  Yi Luo, Zhuo Chen, Takuya Yoshioka
  21.06
• State-of-the-art Speech Recognition With Sequence-to-sequence Models (2017)
  Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, et al.
  21.01
• Multi-talker Speech Separation With Utterance-level Permutation Invariant Training Of Deep Recurrent Neural Networks (2017)
  Morten Kolbæk, Dong Yu, Zheng-Hua Tan, et al.
  20.90
• Libritts: A Corpus Derived From Librispeech For Text-to-speech (2019)
  Heiga Zen, Viet Dang, Rob Clark, et al.
  20.79
• Speaker Recognition From Raw Waveform With Sincnet (2018)
  Mirco Ravanelli, Yoshua Bengio
  20.65
• Joint Ctc-attention Based End-to-end Speech Recognition Using Multi-task Learning (2016)
  Suyoun Kim, Takaaki Hori, Shinji Watanabe
  20.43
• Tasnet: Time-domain Audio Separation Network For Real-time, Single-channel Speech Separation (2017)
  Yi Luo, Nima Mesgarani
  20.16
• A Comparative Study On Transformer Vs RNN In Speech Applications (2019)
  Shigeki Karita, Nanxin Chen, Tomoki Hayashi, et al.
  20.07
• Unsupervised Cross-lingual Representation Learning For Speech Recognition (2020)
  Alexis Conneau, Alexei Baevski, Ronan Collobert, et al.
  18.91
• Light Gated Recurrent Units For Speech Recognition (2018)
  Mirco Ravanelli, Philemon Brakel, Maurizio Omologo, et al.
  18.90
• Fine-tuning Wav2vec2 For Speaker Recognition (2021)
  Nik Vaessen, David A. van Leeuwen
  18.88
• Streaming End-to-end Speech Recognition For Mobile Devices (2018)
  Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, et al.
  18.87
• Speaker Recognition Based On Deep Learning: An Overview (2020)
  Zhongxin Bai, Xiao-Lei Zhang
  18.86
• Espnet-se++: Speech Enhancement For Robust Speech Recognition, Translation, And Understanding (2022)
  Yen-Ju Lu, Xuankai Chang, Chenda Li, et al.
  18.72
• Recent Advances In End-to-end Automatic Speech Recognition (2021)
  Jinyu Li
  18.62
• Dawn Of The Transformer Era In Speech Emotion Recognition: Closing The Valence Gap (2022)
  Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, et al.
  18.59
• 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
• A Wavenet For Speech Denoising (2017)
  Dario Rethage, Jordi Pons, Xavier Serra
  18.47
• Dual-path Transformer Network: Direct Context-aware Modeling For End-to-end Monaural Speech Separation (2020)
  Jingjing Chen, Qirong Mao, Dong Liu
  18.24
• The 2020 Espnet Update: New Features, Broadened Applications, Performance Improvements, And Future Plans (2020)
  Shinji Watanabe, Florian Boyer, Xuankai Chang, et al.
  18.20
• Amphion: An Open-source Audio, Music And Speech Generation Toolkit (2023)
  Xueyao Zhang, Liumeng Xue, Yicheng Gu, et al.
  18.19
• Multimodal Speech Emotion Recognition Using Audio And Text (2018)
  Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
  18.02
• A Joint Cross-attention Model For Audio-visual Fusion In Dimensional Emotion Recognition (2022)
  R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, et al.
  18.00
• Deep Learning Enabled Semantic Communications With Speech Recognition And Synthesis (2022)
  Zhenzi Weng, Zhijin Qin, Xiaoming Tao, et al.
  17.85
• W2v-bert: Combining Contrastive Learning And Masked Language Modeling For Self-supervised Speech Pre-training (2021)
  Yu-An Chung, Yu Zhang, Wei Han, et al.
  17.78
• TERA: Self-supervised Learning Of Transformer Encoder Representation For Speech (2020)
  Andy T. Liu, Shang-Wen Li, Hung-Yi Lee
  17.61
• Voicefilter: Targeted Voice Separation By Speaker-conditioned Spectrogram Masking (2018)
  Quan Wang, Hannah Muckenhirn, Kevin Wilson, et al.
  17.48
• Funcodec: A Fundamental, Reproducible And Integrable Open-source Toolkit For Neural Speech Codec (2023)
  Zhihao Du, Shiliang Zhang, Kai Hu, et al.
  17.47
• Wenet: Production Oriented Streaming And Non-streaming End-to-end Speech Recognition Toolkit (2021)
  Zhuoyuan Yao, di Wu, Xiong Wang, et al.
  17.27
• Mockingjay: Unsupervised Speech Representation Learning With Deep Bidirectional Transformer Encoders (2019)
  Andy T. Liu, Shu-Wen Yang, Po-Han Chi, et al.
  17.26
• Contextnet: Improving Convolutional Neural Networks For Automatic Speech Recognition With Global Context (2020)
  Wei Han, Zhengdong Zhang, Yu Zhang, et al.
  17.24
• Mintrec: A New Dataset For Multimodal Intent Recognition (2022)
  Hanlei Zhang, Hua Xu, Xin Wang, et al.
  17.08
• Exploring The Encoding Layer And Loss Function In End-to-end Speaker And Language Recognition System (2018)
  Weicheng Cai, Jinkun Chen, Ming Li
  17.07
• Self-supervised Speaker Recognition With Loss-gated Learning (2021)
  Ruijie Tao, Kong Aik Lee, Rohan Kumar Das, et al.
  16.93
• Speaker-independent Speech Separation With Deep Attractor Network (2017)
  Yi Luo, Zhuo Chen, Nima Mesgarani
  16.84
• Attention-based Audio-visual Fusion For Robust Automatic Speech Recognition (2018)
  George Sterpu, Christian Saam, Naomi Harte
  16.67
• Automatic Speech Recognition Using Advanced Deep Learning Approaches: A Survey (2024)
  Hamza Kheddar, Mustapha Hemis, Yassine Himeur
  16.63
• Speech Emotion Recognition With Global-aware Fusion On Multi-scale Feature Representation (2022)
  Wenjing Zhu, Xiang Li
  16.53
• 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
• Adversarial Attacks Against Automatic Speech Recognition Systems Via Psychoacoustic Hiding (2018)
  Lea Schönherr, Katharina Kohls, Steffen Zeiler, et al.
  16.45
• CN-CELEB: A Challenging Chinese Speaker Recognition Dataset (2019)
  Yue Fan, Jiawen Kang, Lantian Li, et al.
  16.39
• Prompting The Hidden Talent Of Web-scale Speech Models For Zero-shot Task Generalization (2023)
  Puyuan Peng, Brian Yan, Shinji Watanabe, et al.
  16.38
• Seen And Unseen Emotional Style Transfer For Voice Conversion With A New Emotional Speech Dataset (2020)
  Kun Zhou, Berrak Sisman, Rui Liu, et al.
  16.34
• Replay And Synthetic Speech Detection With Res2net Architecture (2020)
  Xu Li, Na Li, Chao Weng, et al.
  16.32
• Transformer-based Acoustic Modeling For Hybrid Speech Recognition (2019)
  Yongqiang Wang, Abdelrahman Mohamed, Duc Le, et al.
  16.30