cluster #2

Papers

• End-to-end Neural Speaker Diarization With Permutation-free Objectives (2019)
  Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi, et al.
  21.98
• Multi-speaker DOA Estimation Using Deep Convolutional Networks Trained With Noise Signals (2018)
  Soumitro Chakrabarty, Emanuël A. P. Habets
  18.46
• Asvspoof 2021: Towards Spoofed And Deepfake Speech Detection In The Wild (2022)
  Xuechen Liu, Xin Wang, Md Sahidullah, et al.
  17.95
• Speaker Diarization With LSTM (2017)
  Quan Wang, Carlton Downey, Li Wan, et al.
  17.48
• Automatic Speaker Verification Spoofing And Deepfake Detection Using Wav2vec 2.0 And Data Augmentation (2022)
  Hemlata Tak, Massimiliano Todisco, Xin Wang, et al.
  17.35
• One-class Learning Towards Synthetic Voice Spoofing Detection (2020)
  You Zhang, Fei Jiang, Zhiyao Duan
  17.31
• Advances In Integration Of End-to-end Neural And Clustering-based Diarization For Real Conversational Speech (2021)
  Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara
  16.48
• Adversarial Attacks Against Automatic Speech Recognition Systems Via Psychoacoustic Hiding (2018)
  Lea Schönherr, Katharina Kohls, Steffen Zeiler, et al.
  16.45
• Replay And Synthetic Speech Detection With Res2net Architecture (2020)
  Xu Li, Na Li, Chao Weng, et al.
  16.32
• Who Is Real Bob? Adversarial Attacks On Speaker Recognition Systems (2019)
  Guangke Chen, Sen Chen, Lingling Fan, et al.
  16.28
• Target-speaker Voice Activity Detection: A Novel Approach For Multi-speaker Diarization In A Dinner Party Scenario (2020)
  Ivan Medennikov, Maxim Korenevsky, Tatiana Prisyach, et al.
  16.19
• Fully Supervised Speaker Diarization (2018)
  Aonan Zhang, Quan Wang, Zhenyao Zhu, et al.
  15.80
• Targeted Adversarial Examples For Black Box Audio Systems (2018)
  Rohan Taori, Amog Kamsetty, Brenton Chu, et al.
  15.75
• ASSERT: Anti-spoofing With Squeeze-excitation And Residual Networks (2019)
  Cheng-I Lai, Nanxin Chen, Jesús Villalba, et al.
  15.40
• Tristounet: Triplet Loss For Speaker Turn Embedding (2016)
  Hervé Bredin
  14.80
• Auto-tuning Spectral Clustering For Speaker Diarization Using Normalized Maximum Eigengap (2020)
  Tae Jin Park, Kyu J. Han, Manoj Kumar, et al.
  14.58
• Audio-visual Speaker Diarization Based On Spatiotemporal Bayesian Fusion (2016)
  Israel D. Gebru, Silèye Ba, Xiaofei Li, et al.
  14.51
• Deep Learning Based Multi-source Localization With Source Splitting And Its Effectiveness In Multi-talker Speech Recognition (2021)
  Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, et al.
  14.23
• Universal Adversarial Perturbations For Speech Recognition Systems (2019)
  Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, et al.
  14.11
• The Vicomtech Audio Deepfake Detection System Based On Wav2vec2 For The 2022 ADD Challenge (2022)
  Juan M. Martín-Doñas, Aitor Álvarez
  14.06
• The Partialspoof Database And Countermeasures For The Detection Of Short Fake Speech Segments Embedded In An Utterance (2022)
  Lin Zhang, Xin Wang, Erica Cooper, et al.
  14.06
• Light Convolutional Neural Network With Feature Genuinization For Detection Of Synthetic Speech Attacks (2020)
  Zhenzong Wu, Rohan Kumar Das, Jichen Yang, et al.
  13.97
• MIMO-SPEECH: End-to-end Multi-channel Multi-speaker Speech Recognition (2019)
  Xuankai Chang, Wangyou Zhang, Yanmin Qian, et al.
  13.93
• LSTM Based Similarity Measurement With Spectral Clustering For Speaker Diarization (2019)
  Qingjian Lin, Ruiqing Yin, Ming Li, et al.
  13.79
• Integrating End-to-end Neural And Clustering-based Diarization: Getting The Best Of Both Worlds (2020)
  Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara
  13.74
• Adversarial Attacks On GMM I-vector Based Speaker Verification Systems (2019)
  Xu Li, Jinghua Zhong, Xixin Wu, et al.
  13.65
• Voice Activity Detection: Merging Source And Filter-based Information (2019)
  Thomas Drugman, Yannis Stylianou, Yusuke Kida, et al.
  13.50
• Adversarial Attack And Defense Strategies For Deep Speaker Recognition Systems (2020)
  Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, et al.
  13.39
• MLAAD: The Multi-language Audio Anti-spoofing Dataset (2024)
  Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, et al.
  13.34
• Overlap-aware Diarization: Resegmentation Using Neural End-to-end Overlapped Speech Detection (2019)
  Latané Bullock, Hervé Bredin, Leibny Paola Garcia-Perera
  13.17
• Personal VAD: Speaker-conditioned Voice Activity Detection (2019)
  Shaojin Ding, Quan Wang, Shuo-Yiin Chang, et al.
  13.05
• Encoder-decoder Based Attractors For End-to-end Neural Diarization (2021)
  Shota Horiguchi, Yusuke Fujita, Shinji Watanabe, et al.
  13.05
• End-to-end Integration Of Speech Recognition, Speech Enhancement, And Self-supervised Learning Representation (2022)
  Xuankai Chang, Takashi Maekaku, Yuya Fujita, et al.
  12.54
• UR Channel-robust Synthetic Speech Detection System For Asvspoof 2021 (2021)
  Xinhui Chen, You Zhang, Ge Zhu, et al.
  12.54
• Joint Speaker Counting, Speech Recognition, And Speaker Identification For Overlapped Speech Of Any Number Of Speakers (2020)
  Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang, et al.
  12.54
• Turn-to-diarize: Online Speaker Diarization Constrained By Transformer Transducer Speaker Turn Detection (2021)
  Wei Xia, Han Lu, Quan Wang, et al.
  12.40
• Universal Adversarial Perturbations Generative Network For Speaker Recognition (2020)
  Jiguo Li, Xinfeng Zhang, Chuanmin Jia, et al.
  12.33
• Inaudible Adversarial Perturbations For Targeted Attack In Speaker Recognition (2020)
  Qing Wang, Pengcheng Guo, Lei Xie
  12.33
• The DKU Replay Detection System For The Asvspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, And Fusion (2019)
  Weicheng Cai, Haiwei Wu, Danwei Cai, et al.
  12.25
• The Chime-7 DASR Challenge: Distant Meeting Transcription With Multiple Devices In Diverse Scenarios (2023)
  Samuele Cornell, Matthew Wiesner, Shinji Watanabe, et al.
  12.25
• A Purely End-to-end System For Multi-speaker Speech Recognition (2018)
  Hiroshi Seki, Takaaki Hori, Shinji Watanabe, et al.
  12.25
• Introduction To Voice Presentation Attack Detection And Recent Advances (2019)
  Md Sahidullah, Hector Delgado, Massimiliano Todisco, et al.
  12.17
• A Survey On Speech Deepfake Detection (2024)
  Menglu Li, Yasaman Ahmadiadli, Xiao-Ping Zhang
  12.10
• Can We Steal Your Vocal Identity From The Internet?: Initial Investigation Of Cloning Obama's Voice Using GAN, Wavenet And Low-quality Found Data (2018)
  Jaime Lorenzo-Trueba, Fuming Fang, Xin Wang, et al.
  12.02
• End-to-end Monaural Multi-speaker ASR System Without Pretraining (2018)
  Xuankai Chang, Yanmin Qian, Kai Yu, et al.
  11.93
• Spoofed Training Data For Speech Spoofing Countermeasure Can Be Efficiently Created Using Neural Vocoders (2022)
  Xin Wang, Junichi Yamagishi
  11.93
• Singfake: Singing Voice Deepfake Detection (2023)
  Yongyi Zang, You Zhang, Mojtaba Heydari, et al.
  11.93
• USEF-TSE: Universal Speaker Embedding Free Target Speaker Extraction (2024)
  Bang Zeng, Ming Li
  11.88
• Multitask Detection Of Speaker Changes, Overlapping Speech And Voice Activity Using Wav2vec 2.0 (2022)
  Marie Kunešová, Zbyněk Zajíc
  11.86
• Enhancing Partially Spoofed Audio Localization With Boundary-aware Attention Mechanism (2024)
  Jiafeng Zhong, Bin Li, Jiangyan Yi
  11.86