---
title: "Interspeech 2021 — all accepted papers — the most cited first"
description: "All 963 papers of Interspeech 2021 · page 1 of 10, the most cited first; those with our summary link to it."
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# Interspeech 2021: all accepted papers

963 papers · page 1 of 10 · the most cited first · [← Interspeech 2021](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2021/)

**1** [2](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2021/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2021/papers/page/10/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2021/papers/page/2/)

1. **[AST: Audio Spectrogram Transformer ↗](https://doi.org/10.21437/interspeech.2021-698)**Yuan Gong, Yu-An Chung, James Glass*1,086 citations*
2. **[SUPERB: Speech Processing Universal PERformance Benchmark ↗](https://doi.org/10.21437/interspeech.2021-1775)**Shu-Wen Yang, Po-Han Chi, Yung-Sung Chuang et al.*666 citations*
3. **[Unsupervised Cross-Lingual Representation Learning for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-329)**Alexis Conneau, Alexei Baevski, Ronan Collobert et al.*606 citations*
4. **[Emotion Recognition from Speech Using wav2vec 2.0 Embeddings ↗](https://doi.org/10.21437/interspeech.2021-703)**Leonardo Pepino, Pablo Riera, Luciana Ferrer*378 citations*
5. **[NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets ↗](https://doi.org/10.21437/interspeech.2021-299)**Gabriel Mittag, Babak Naderi, Assmaa Chehadi et al.*271 citations*
6. **[WeNet: Production Oriented Streaming and Non-Streaming End-to-End Speech Recognition Toolkit ↗](https://doi.org/10.21437/interspeech.2021-1983)**Zhuoyuan Yao, Di Wu, Xiong Wang et al.*234 citations*
7. **[GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio ↗](https://doi.org/10.21437/interspeech.2021-1965)**Guoguo Chen, Shuzhou Chai, Guanbo Wang et al.*229 citations*
8. **[Speech Resynthesis from Discrete Disentangled Self-Supervised Representations ↗](https://doi.org/10.21437/interspeech.2021-475)**Adam Polyak, Yossi Adi, Jade Copet et al.*211 citations*
9. **[MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2021-599)**Szu‐Wei Fu, Cheng Yu, Tsun-An Hsieh et al.*207 citations*
10. **[Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training ↗](https://doi.org/10.21437/interspeech.2021-236)**Wei-Ning Hsu, Anuroop Sriram, Alexei Baevski et al.*182 citations*
11. **[INTERSPEECH 2021 Deep Noise Suppression Challenge ↗](https://doi.org/10.21437/interspeech.2021-1609)**Chandan K. A. Reddy, Harishchandra Dubey, Kazuhito Koishida et al.*170 citations*
12. **[AISHELL-3: A Multi-Speaker Mandarin TTS Corpus ↗](https://doi.org/10.21437/interspeech.2021-755)**Yao Shi, Hui Bu, Xin Xu et al.*160 citations*
13. **[Exploring wav2vec 2.0 on Speaker Verification and Language Identification ↗](https://doi.org/10.21437/interspeech.2021-1280)**Zhiyun Fan, Meng Li, Shiyu Zhou et al.*154 citations*
14. **[Keyword Transformer: A Self-Attention Model for Keyword Spotting ↗](https://doi.org/10.21437/interspeech.2021-1286)**Axel Berg, Mark O’Connor, Miguel Tairum Cruz*147 citations*
15. **[End-To-End Speaker Segmentation for Overlap-Aware Resegmentation ↗](https://doi.org/10.21437/interspeech.2021-560)**Hervé Bredin, Antoine Laurent*141 citations*
16. **[Detecting Cognitive Decline Using Speech Only: The ADReSSo Challenge ↗](https://doi.org/10.21437/interspeech.2021-1220)**Saturnino F. Luz, Fasih Haider, Sofia de la Fuente et al.*135 citations*
17. **[The Third DIHARD Diarization Challenge ↗](https://doi.org/10.21437/interspeech.2021-1208)**Neville Ryant, Prachi Singh, Venkat Krishnamohan et al.*132 citations*
18. **[A Comparative Study on Recent Neural Spoofing Countermeasures for Synthetic Speech Detection ↗](https://doi.org/10.21437/interspeech.2021-702)**Xin Wang, Junichi Yamagishi*128 citations*
19. **[VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-Shot Voice Conversion ↗](https://doi.org/10.21437/interspeech.2021-283)**Disong Wang, Liqun Deng, Yu Ting Yeung et al.*118 citations*
20. **[Diff-TTS: A Denoising Diffusion Model for Text-to-Speech ↗](https://doi.org/10.21437/interspeech.2021-469)**Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon et al.*116 citations*
21. **[SE-Conformer: Time-Domain Speech Enhancement Using Conformer ↗](https://doi.org/10.21437/interspeech.2021-2207)**Eesung Kim, Hyeji Seo*116 citations*
22. **[Broadcasted Residual Learning for Efficient Keyword Spotting ↗](https://doi.org/10.21437/interspeech.2021-383)**Byeonggeun Kim, Simyung Chang, Jinkyu Lee et al.*110 citations*
23. **[The Multilingual TEDx Corpus for Speech Recognition and Translation ↗](https://doi.org/10.21437/interspeech.2021-11)**Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman et al.*110 citations*
24. **[CoVoST 2 and Massively Multilingual Speech Translation ↗](https://doi.org/10.21437/interspeech.2021-2027)**Changhan Wang, Anne Wu, Jiatao Gu et al.*109 citations*
25. **[UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation ↗](https://doi.org/10.21437/interspeech.2021-1016)**Won Jang, Dan Lim, Jaesam Yoon et al.*109 citations*
26. **[Speech Emotion Recognition with Multi-Task Learning ↗](https://doi.org/10.21437/interspeech.2021-1852)**Xingyu Cai, Jiahong Yuan, Renjie Zheng et al.*108 citations*
27. **[AVLnet: Learning Audio-Visual Language Representations from Instructional Videos ↗](https://doi.org/10.21437/interspeech.2021-1312)**Andrew Rouditchenko, Angie Boggust, David F. Harwath et al.*106 citations*
28. **[DiCOVA Challenge: Dataset, Task, and Baseline System for COVID-19 Diagnosis Using Acoustics ↗](https://doi.org/10.21437/interspeech.2021-74)**Ananya Muguli, Lancelot Pinto, R Nirmala et al.*101 citations*
29. **[ECAPA-TDNN Embeddings for Speaker Diarization ↗](https://doi.org/10.21437/interspeech.2021-941)**Nauman Dawalatabad, Mirco Ravanelli, François Grondin et al.*95 citations*
30. **[DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2021-296)**Xiaohuai Le, Hongsheng Chen, Kai Chen et al.*92 citations*
31. **[MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages ↗](https://doi.org/10.21437/interspeech.2021-1339)**Anuj Diwan, Rakesh Vaideeswaran, Sanket B. Shah et al.*92 citations*
32. **[The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates ↗](https://doi.org/10.21437/interspeech.2021-19)**Björn Wolfgang Schuller, Anton M. Batliner, Christian Bergler et al.*89 citations*
33. **[DCCRN+: Channel-Wise Subband DCCRN with SNR Estimation for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2021-1482)**Shubo Lv, Yanxin Hu, Shimin Zhang et al.*88 citations*
34. **[SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model ↗](https://doi.org/10.21437/interspeech.2021-1774)**Edresson Casanova, Christopher Shulby, Eren Gölge et al.*83 citations*
35. **[PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation ↗](https://doi.org/10.21437/interspeech.2021-248)**Jangho Kim, Simyung Chang, Nojun Kwak*81 citations*
36. **[StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice Conversion ↗](https://doi.org/10.21437/interspeech.2021-319)**Yinghao Aaron Li, Ali Zare, Nima Mesgarani*81 citations*
37. **[Half-Truth: A Partially Fake Audio Detection Dataset ↗](https://doi.org/10.21437/interspeech.2021-930)**Jiangyan Yi, Ye Bai, Jianhua Tao et al.*80 citations*
38. **[The Effect of Silence and Dual-Band Fusion in Anti-Spoofing System ↗](https://doi.org/10.21437/interspeech.2021-1281)**Yuxiang Zhang, Wenchao Wang, Pengyuan Zhang*78 citations*
39. **[AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario ↗](https://doi.org/10.21437/interspeech.2021-1397)**Yihui Fu, Luyao Cheng, Shubo Lv et al.*77 citations*
40. **[Speaker Anonymisation Using the McAdams Coefficient ↗](https://doi.org/10.21437/interspeech.2021-1070)**Jose Patino, Natalia Tomashenko, Massimiliano Todisco et al.*76 citations*
41. **[Non-Autoregressive Predictive Coding for Learning Speech Representations from Local Dependencies ↗](https://doi.org/10.21437/interspeech.2021-349)**Alexander H. Liu, Yu-An Chung, James Glass*75 citations*
42. **[Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling ↗](https://doi.org/10.21437/interspeech.2021-1461)**Isaac Elias, Heiga Zen, Jonathan Shen et al.*74 citations*
43. **[Automatic Speech Recognition of Disordered Speech: Personalized Models Outperforming Human Listeners on Short Phrases ↗](https://doi.org/10.21437/interspeech.2021-1384)**Jordan R. Green, Robert L. MacDonald, Pan-Pan Jiang et al.*72 citations*
44. **[Channel-Wise Gated Res2Net: Towards Robust Detection of Synthetic Speech Attacks ↗](https://doi.org/10.21437/interspeech.2021-2125)**Xu Li, Xixin Wu, Hui Lu et al.*72 citations*
45. **[Disordered Speech Data Collection: Lessons Learned at 1 Million Utterances from Project Euphonia ↗](https://doi.org/10.21437/interspeech.2021-697)**Robert L. MacDonald, Pan-Pan Jiang, Julie Cattiau et al.*72 citations*
46. **[Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion ↗](https://doi.org/10.21437/interspeech.2021-1566)**Duc Le, Mahaveer Jain, Gil Keren et al.*70 citations*
47. **[Hi-Fi Multi-Speaker English TTS Dataset ↗](https://doi.org/10.21437/interspeech.2021-1599)**Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg et al.*69 citations*
48. **[A Simultaneous Denoising and Dereverberation Framework with Target Decoupling ↗](https://doi.org/10.21437/interspeech.2021-1137)**Andong Li, Wenzhe Liu, Xiaoxue Luo et al.*68 citations*
49. **[Graph Attention Networks for Anti-Spoofing ↗](https://doi.org/10.21437/interspeech.2021-993)**Hemlata Tak, Jee-weon Jung, Jose Patino et al.*68 citations*
50. **[Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions ↗](https://doi.org/10.21437/interspeech.2021-911)**Jumon Nozaki, Tatsuya Komatsu*67 citations*
51. **[speechocean762: An Open-Source Non-Native English Speech Corpus for Pronunciation Assessment](https://md.research.elamur.ai/free/en/papers/zhang-2021-speechocean762-open-source-non-native/)**Junbo Zhang, Zhiwen Zhang, Yongqing Wang et al.*65 citations · our summary*
52. **[NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling ↗](https://doi.org/10.21437/interspeech.2021-36)**Junhyeok Lee, Seungu Han*62 citations*
53. **[Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing ↗](https://doi.org/10.21437/interspeech.2021-1574)**Simone Graetzer, Jon Barker, Trevor J. Cox et al.*61 citations*
54. **[PnG BERT: Augmented BERT on Phonemes and Graphemes for Neural TTS ↗](https://doi.org/10.21437/interspeech.2021-1757)**Jia Ye, Heiga Zen, Jonathan Shen et al.*61 citations*
55. **[Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning ↗](https://doi.org/10.21437/interspeech.2021-391)**Dongwei Jiang, Wubo Li, Miao Yan Cao et al.*61 citations*
56. **[Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios ↗](https://doi.org/10.21437/interspeech.2021-1850)**Raghavendra Reddy Pappagari, Jaejin Cho, Sonal Joshi et al.*60 citations*
57. **[Advances in Integration of End-to-End Neural and Clustering-Based Diarization for Real Conversational Speech ↗](https://doi.org/10.21437/interspeech.2021-1004)**Keisuke Kinoshita, Marc Delcroix, Naohiro Tawara*59 citations*
58. **[Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification ↗](https://doi.org/10.21437/interspeech.2021-1570)**Jenthe Thienpondt, Brecht Desplanques, Kris Demuynck*59 citations*
59. **[Improving Perceptual Quality by Phone-Fortified Perceptual Loss Using Wasserstein Distance for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2021-582)**Tsun-An Hsieh, Cheng Yu, Szu‐Wei Fu et al.*58 citations*
60. **[Alzheimer’s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs ↗](https://doi.org/10.21437/interspeech.2021-1633)**Morteza Rohanian, Julian Hough, Matthew Purver*56 citations*
61. **[End-to-End Speech Translation via Cross-Modal Progressive Training ↗](https://doi.org/10.21437/interspeech.2021-1065)**Rong Ye, Mingxuan Wang, Lei Li*54 citations*
62. **[Rethinking Evaluation in ASR: Are Our Models Robust Enough? ↗](https://doi.org/10.21437/interspeech.2021-1758)**Tatiana Likhomanenko, Qiantong Xu, Vineel Pratap et al.*54 citations*
63. **[Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer’s Dementia Detection Through Spontaneous Speech ↗](https://doi.org/10.21437/interspeech.2021-1519)**Yilin Pan, Bahman Mirheidari, Jennifer Harris et al.*54 citations*
64. **[WavBERT: Exploiting Semantic and Non-Semantic Speech Using Wav2vec and BERT for Dementia Detection ↗](https://doi.org/10.21437/interspeech.2021-332)**Youxiang Zhu, Abdelrahman Obyat, Xiaohui Liang et al.*52 citations*
65. **[S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations ↗](https://doi.org/10.21437/interspeech.2021-1356)**Jheng-Hao Lin, Yist Y. Lin, Chung-Ming Chien et al.*49 citations*
66. **[SpecMix : A Mixed Sample Data Augmentation Method for Training with Time-Frequency Domain Features ↗](https://doi.org/10.21437/interspeech.2021-103)**Gwantae Kim, David K. Han, Hanseok Ko*49 citations*
67. **[Utilizing Self-Supervised Representations for MOS Prediction ↗](https://doi.org/10.21437/interspeech.2021-2013)**Wei-Cheng Tseng, Chien‐Yu Huang, Wei-Tsung Kao et al.*49 citations*
68. **[Audio Retrieval with Natural Language Queries ↗](https://doi.org/10.21437/interspeech.2021-2227)**Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques et al.*48 citations*
69. **[Towards the Explainability of Multimodal Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2021-1718)**Puneet Kumar, Vishesh Kaushik, Balasubramanian Raman*48 citations*
70. **[Explore wav2vec 2.0 for Mispronunciation Detection ↗](https://doi.org/10.21437/interspeech.2021-777)**Xiaoshuo Xu, Yueteng Kang, Songjun Cao et al.*46 citations*
71. **[INTERSPEECH 2021 Acoustic Echo Cancellation Challenge ↗](https://doi.org/10.21437/interspeech.2021-1870)**Ross Cutler, Ando Saabas, Tanel Pärnamaa et al.*46 citations*
72. **[Fre-GAN: Adversarial Frequency-Consistent Audio Synthesis ↗](https://doi.org/10.21437/interspeech.2021-845)**Ji-Hoon Kim, Sanghoon Lee, Ji-Hyun Lee et al.*45 citations*
73. **[LiRA: Learning Visual Speech Representations from Audio Through Self-Supervision ↗](https://doi.org/10.21437/interspeech.2021-1360)**Pingchuan Ma, Rodrigo Mira, Stavros Petridis et al.*45 citations*
74. **[Transformer Based End-to-End Mispronunciation Detection and Diagnosis ↗](https://doi.org/10.21437/interspeech.2021-1467)**Minglin Wu, Kun Li, Wai-Kim Leung et al.*45 citations*
75. **[slimIPL: Language-Model-Free Iterative Pseudo-Labeling ↗](https://doi.org/10.21437/interspeech.2021-740)**Tatiana Likhomanenko, Qiantong Xu, Jacob Kahn et al.*45 citations*
76. **[An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling ↗](https://doi.org/10.21437/interspeech.2021-206)**Tara N. Sainath, Yanzhang He, Arun Narayanan et al.*44 citations*
77. **[IR-GAN: Room Impulse Response Generator for Far-Field Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-230)**Anton Jeran Ratnarajah, Zhenyu Tang, Dinesh Manocha*44 citations*
78. **[WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2021-1897)**Nanxin Chen, Yu Zhang, Heiga Zen et al.*44 citations*
79. **[A Study on Fine-Tuning wav2vec2.0 Model for the Task of Mispronunciation Detection and Diagnosis ↗](https://doi.org/10.21437/interspeech.2021-1344)**Linkai Peng, Kaiqi Fu, Binghuai Lin et al.*43 citations*
80. **[Alzheimer Disease Recognition Using Speech-Based Embeddings From Pre-Trained Models ↗](https://doi.org/10.21437/interspeech.2021-753)**Lara Gauder, Leonardo Pepino, Luciana Ferrer et al.*43 citations*
81. **[Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only ↗](https://doi.org/10.21437/interspeech.2021-2002)**Jun Chen, Jieping Ye, Fengyi Tang et al.*43 citations*
82. **[Speech Denoising Without Clean Training Data: A Noise2Noise Approach ↗](https://doi.org/10.21437/interspeech.2021-1130)**Madhav Mahesh Kashyap, Anuj Tambwekar, K M Manohara et al.*43 citations*
83. **[The Energy and Carbon Footprint of Training End-to-End Speech Recognizers ↗](https://doi.org/10.21437/interspeech.2021-456)**Titouan Parcollet, Mirco Ravanelli*43 citations*
84. **[wav2vec-C: A Self-Supervised Model for Speech Representation Learning ↗](https://doi.org/10.21437/interspeech.2021-717)**Samik Sadhu, Di He, Che-Wei Huang et al.*43 citations*
85. **[Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-1390)**Genta Indra Winata, Guangsen Wang, Caiming Xiong et al.*42 citations*
86. **[On the Limit of English Conversational Speech Recognition](https://md.research.elamur.ai/free/en/papers/tuske-2021-limit-english-conversational-speech-recognition/)**Zoltán Tüske, George Saon, Brian E. D. Kingsbury*41 citations · our summary*
87. **[Siamese Network with wav2vec Feature for Spoofing Speech Detection ↗](https://doi.org/10.21437/interspeech.2021-847)**Yang Xie, Zhenchuan Zhang, Yingchun Yang*41 citations*
88. **[An Initial Investigation for Detecting Partially Spoofed Audio ↗](https://doi.org/10.21437/interspeech.2021-738)**Lin Zhang, Xin Wang, Erica Cooper et al.*40 citations*
89. **[Earnings-21: A Practical Benchmark for ASR in the Wild ↗](https://doi.org/10.21437/interspeech.2021-1915)**Miguel Del Rio, Natalie Delworth, Ryan Westerman et al.*39 citations*
90. **[Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability ↗](https://doi.org/10.21437/interspeech.2021-1236)**Rui Liu, Berrak Şişman, Haizhou Li*39 citations*
91. **[The Zero Resource Speech Challenge 2021: Spoken Language Modelling ↗](https://doi.org/10.21437/interspeech.2021-1755)**Ewan Dunbar, Mathieu Bernard, Nicolas Hamilakis et al.*39 citations*
92. **[Generalized Spatio-Temporal RNN Beamformer for Target Speech Separation ↗](https://doi.org/10.21437/interspeech.2021-430)**Yong Xu, Zhuohuang Zhang, Meng Yu et al.*38 citations*
93. **[Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models ↗](https://doi.org/10.21437/interspeech.2021-1255)**Mohammad Zeineldeen, Глушко Андрей Владимирович, Wilfried Michel et al.*38 citations*
94. **[Adversarial Data Augmentation for Disordered Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-168)**Zengrui Jin, Mengzhe Geng, Xurong Xie et al.*37 citations*
95. **[Comparing Acoustic-Based Approaches for Alzheimer’s Disease Detection ↗](https://doi.org/10.21437/interspeech.2021-759)**Aparna Balagopalan, Jekaterina Novikova*37 citations*
96. **[F-T-LSTM Based Complex Network for Joint Acoustic Echo Cancellation and Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2021-1359)**Shimin Zhang, Yuxiang Kong, Shubo Lv et al.*37 citations*
97. **[Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2021-158)**Hang Li, Wenbiao Ding, Zhongqin Wu et al.*37 citations*
98. **[SynthASR: Unlocking Synthetic Data for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-1882)**Amin Fazel, Wei Yang, Yulan Liu et al.*37 citations*
99. **[Few-Shot Keyword Spotting in Any Language ↗](https://doi.org/10.21437/interspeech.2021-1966)**Mark Mazumder, Colby Banbury, Josh Meyer et al.*36 citations*
100. **[RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform ↗](https://doi.org/10.21437/interspeech.2021-438)**Youxuan Ma, Zongze Ren, Shugong Xu*36 citations*

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