---
title: "Interspeech 2020 — all accepted papers — the most cited first"
description: "All 1,030 papers of Interspeech 2020 · page 1 of 11, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/) / [2020](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/) / papers

# Interspeech 2020: all accepted papers

1,030 papers · page 1 of 11 · the most cited first · [← Interspeech 2020](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/)

**1** [2](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/10/) [11](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/11/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/2/)

1. **[Conformer: Convolution-augmented Transformer for Speech Recognition](https://md.research.elamur.ai/free/en/papers/gulati-2020-conformer-convolution-augmented-transformer-speech/)**Anmol Gulati, James Qin, Chung‐Cheng Chiu et al.*3,070 citations · our summary*
2. **[ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification ↗](https://doi.org/10.21437/interspeech.2020-2650)**Brecht Desplanques, Jenthe Thienpondt, Kris Demuynck*1,508 citations*
3. **[DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2020-2537)**Yanxin Hu, Yun Liu, Shubo Lv et al.*737 citations*
4. **[Real Time Speech Enhancement in the Waveform Domain ↗](https://doi.org/10.21437/interspeech.2020-2409)**Alexandre Défossez, Gabriel Synnaeve, Yossi Adi*522 citations*
5. **[In Defence of Metric Learning for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2020-1064)**Joon Son Chung, Jaesung Huh, Seongkyu Mun et al.*383 citations*
6. **[The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results ↗](https://doi.org/10.21437/interspeech.2020-3038)**Chandan K. A. Reddy, Vishak Gopal, Ross Cutler et al.*363 citations*
7. **[MLS: A Large-Scale Multilingual Dataset for Speech Research](https://md.research.elamur.ai/free/en/papers/pratap-2020-mls-large-scale-multilingual-dataset/)**Vineel Pratap, Qiantong Xu, Anuroop Sriram et al.*358 citations · our summary*
8. **[Coswara — A Database of Breathing, Cough, and Voice Sounds for COVID-19 Diagnosis ↗](https://doi.org/10.21437/interspeech.2020-2768)**Neeraj Kumar Sharma, Prashant Krishnan, Rohit Vishal Kumar et al.*331 citations*
9. **[Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation ↗](https://doi.org/10.21437/interspeech.2020-2205)**Jingjing Chen, Qirong Mao, Dong Liu*320 citations*
10. **[ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context ↗](https://doi.org/10.21437/interspeech.2020-2059)**Wei Han, Zhengdong Zhang, Yu Zhang et al.*287 citations*
11. **[Alzheimer’s Dementia Recognition Through Spontaneous Speech: The ADReSS Challenge ↗](https://doi.org/10.21437/interspeech.2020-2571)**Saturnino F. Luz, Fasih Haider, Sofia de la Fuente et al.*265 citations*
12. **[Improved Noisy Student Training for Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1470)**Daniel Park, Yu Zhang, Jia Ye et al.*218 citations*
13. **[Target-Speaker Voice Activity Detection: A Novel Approach for Multi-Speaker Diarization in a Dinner Party Scenario ↗](https://doi.org/10.21437/interspeech.2020-1602)**Ivan Medennikov, Maxim L. Korenevsky, Tatiana Prisyach et al.*191 citations*
14. **[End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors ↗](https://doi.org/10.21437/interspeech.2020-1022)**Shota Horiguchi, Yusuke Fujita, Shinji Watanabe et al.*177 citations*
15. **[SpEx+: A Complete Time Domain Speaker Extraction Network ↗](https://doi.org/10.21437/interspeech.2020-1397)**Meng Ge, Chenglin Xu, Longbiao Wang et al.*149 citations*
16. **[Spot the Conversation: Speaker Diarisation in the Wild ↗](https://doi.org/10.21437/interspeech.2020-2337)**Joon Son Chung, Jaesung Huh, Arsha Nagrani et al.*149 citations*
17. **[Dual-Signal Transformation LSTM Network for Real-Time Noise Suppression ↗](https://doi.org/10.21437/interspeech.2020-2631)**Nils L. Westhausen, Bernd T. Meyer*138 citations*
18. **[HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks ↗](https://doi.org/10.21437/interspeech.2020-2143)**Jiaqi Su, Zeyu Jin, Adam Finkelstein*135 citations*
19. **[On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-2846)**Jinyu Li, Yu Wu, Yashesh Gaur et al.*134 citations*
20. **[Towards Learning a Universal Non-Semantic Representation of Speech ↗](https://doi.org/10.21437/interspeech.2020-1242)**Joel Shor, Aren Jansen, Ronnie Maor et al.*123 citations*
21. **[Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict ↗](https://doi.org/10.21437/interspeech.2020-2404)**Yosuke Higuchi, Shinji Watanabe, Nanxin Chen et al.*122 citations*
22. **[To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer’s Disease Detection ↗](https://doi.org/10.21437/interspeech.2020-2557)**Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz et al.*122 citations*
23. **[Massively Multilingual ASR: 50 Languages, 1 Model, 1 Billion Parameters ↗](https://doi.org/10.21437/interspeech.2020-2831)**Vineel Pratap, Anuroop Sriram, Paden Tomasello et al.*117 citations*
24. **[Streaming Keyword Spotting on Mobile Devices ↗](https://doi.org/10.21437/interspeech.2020-1003)**Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya et al.*114 citations*
25. **[TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids ↗](https://doi.org/10.21437/interspeech.2020-1864)**Igor Fedorov, Marko Stamenovic, Carl Jensen et al.*114 citations*
26. **[Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge ↗](https://doi.org/10.21437/interspeech.2020-1693)**Benjamin van Niekerk, Leanne Nortje, Herman Kamper*114 citations*
27. **[An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety ↗](https://doi.org/10.21437/interspeech.2020-2223)**Jing Han, Kun Qian, Meishu Song et al.*113 citations*
28. **[Jointly Fine-Tuning “BERT-Like” Self Supervised Models to Improve Multimodal Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2020-1212)**Shamane Siriwardhana, Andrew Reis, Rivindu Weerasekera et al.*113 citations*
29. **[Iterative Pseudo-Labeling for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1800)**Qiantong Xu, Tatiana Likhomanenko, Jacob Kahn et al.*112 citations*
30. **[Light Convolutional Neural Network with Feature Genuinization for Detection of Synthetic Speech Attacks ↗](https://doi.org/10.21437/interspeech.2020-1810)**Zhenzong Wu, Rohan Kumar Das, Jichen Yang et al.*111 citations*
31. **[Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer’s Disease ↗](https://doi.org/10.21437/interspeech.2020-2516)**Jiahong Yuan, Yuchen Bian, Xingyu Cai et al.*109 citations*
32. **[Improved RawNet with Feature Map Scaling for Text-Independent Speaker Verification Using Raw Waveforms ↗](https://doi.org/10.21437/interspeech.2020-1011)**Jee-weon Jung, Seung-bin Kim, Hye-jin Shim et al.*106 citations*
33. **[SpeechBERT: An Audio-and-Text Jointly Learned Language Model for End-to-End Spoken Question Answering ↗](https://doi.org/10.21437/interspeech.2020-1570)**Yung-Sung Chuang, Chi-Liang Liu, Hung-yi Lee et al.*105 citations*
34. **[The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks ↗](https://doi.org/10.21437/interspeech.2020-0032)**Björn Wolfgang Schuller, Anton M. Batliner, Christian Bergler et al.*103 citations*
35. **[Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining ↗](https://doi.org/10.21437/interspeech.2020-1066)**Wen-Chin Huang, Tomoki Hayashi, Yi-Chiao Wu et al.*103 citations*
36. **[Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability ↗](https://doi.org/10.21437/interspeech.2020-3016)**Jinyu Li, Rui Zhao, Zhong Meng et al.*98 citations*
37. **[Introducing the VoicePrivacy Initiative ↗](https://doi.org/10.21437/interspeech.2020-1333)**Natalia Tomashenko, Brij Mohan Lal Srivastava, Xin Wang et al.*98 citations*
38. **[MatchboxNet: 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition ↗](https://doi.org/10.21437/interspeech.2020-1058)**Somshubra Majumdar, Boris Ginsburg*98 citations*
39. **[Multimodal Emotion Recognition Using Cross-Modal Attention and 1D Convolutional Neural Networks ↗](https://doi.org/10.21437/interspeech.2020-1190)**Dara Nanda Gopala Krishna, Ankita Patil*97 citations*
40. **[CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion ↗](https://doi.org/10.21437/interspeech.2020-2280)**Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka et al.*96 citations*
41. **[LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation ↗](https://doi.org/10.21437/interspeech.2020-2487)**Yi Ma, Xinzi Xu, Yongfu Li*96 citations*
42. **[Multi-Modal Attention for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2020-1653)**Zexu Pan, Zhaojie Luo, Jichen Yang et al.*95 citations*
43. **[PoCoNet: Better Speech Enhancement with Frequency-Positional Embeddings, Semi-Supervised Conversational Data, and Biased Loss ↗](https://doi.org/10.21437/interspeech.2020-3027)**Umut Isik, Ritwik Giri, Neerad Phansalkar et al.*95 citations*
44. **[Vector-Quantized Autoregressive Predictive Coding ↗](https://doi.org/10.21437/interspeech.2020-1228)**Yu-An Chung, Hao Tang, James Glass*94 citations*
45. **[Densely Connected Time Delay Neural Network for Speaker Verification ↗](https://doi.org/10.21437/interspeech.2020-1275)**Ya-Qi Yu, Wu-Jun Li*93 citations*
46. **[MultiSpeech: Multi-Speaker Text to Speech with Transformer ↗](https://doi.org/10.21437/interspeech.2020-3139)**Mingjian Chen, Xu Tan, Yi Ren et al.*89 citations*
47. **[VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net Architecture ↗](https://doi.org/10.21437/interspeech.2020-1443)**Da-Yi Wu, Yen‐Hao Chen, Hung-yi Lee*87 citations*
48. **[Contextual RNN-T for Open Domain ASR ↗](https://doi.org/10.21437/interspeech.2020-2986)**Mahaveer Jain, Gil Keren, Jay Mahadeokar et al.*86 citations*
49. **[An Effective Domain Adaptive Post-Training Method for BERT in Response Selection ↗](https://doi.org/10.21437/interspeech.2020-2153)**Taesun Whang, Dongyub Lee, Chanhee Lee et al.*85 citations*
50. **[A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech ↗](https://doi.org/10.21437/interspeech.2020-2730)**Jean-Marc Valin, Umut Isik, Neerad Phansalkar et al.*83 citations*
51. **[An Open Source Implementation of ITU-T Recommendation P.808 with Validation ↗](https://doi.org/10.21437/interspeech.2020-2665)**Babak Naderi, Ross Cutler*83 citations*
52. **[Intelligibility-Enhancing Speech Modifications — The Hurricane Challenge 2.0 ↗](https://doi.org/10.21437/interspeech.2020-1641)**Jan Rennies, Henning Schepker, Cassia Valentini-Botinhao et al.*83 citations*
53. **[Multi-Modal Fusion with Gating Using Audio, Lexical and Disfluency Features for Alzheimer’s Dementia Recognition from Spontaneous Speech ↗](https://doi.org/10.21437/interspeech.2020-2721)**Morteza Rohanian, Julian Hough, Matthew Purver*82 citations*
54. **[DurIAN: Duration Informed Attention Network for Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2020-2968)**Chengzhu Yu, Heng Lu, Na Hu et al.*79 citations*
55. **[Environment Sound Classification Using Multiple Feature Channels and Attention Based Deep Convolutional Neural Network ↗](https://doi.org/10.21437/interspeech.2020-1303)**Jivitesh Sharma, Ole‐Christoffer Granmo, Morten Goodwin*78 citations*
56. **[Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs ↗](https://doi.org/10.21437/interspeech.2020-1283)**Seong Min Kye, Youngmoon Jung, Haebeom Lee et al.*78 citations*
57. **[Self-Attention Encoding and Pooling for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2020-1446)**Pooyan Safari, Miquel India, Javier Hernando*78 citations*
58. **[The Attacker’s Perspective on Automatic Speaker Verification: An Overview ↗](https://doi.org/10.21437/interspeech.2020-1052)**Rohan Kumar Das, Xiaohai Tian, Tomi Kinnunen et al.*76 citations*
59. **[Joint Speaker Counting, Speech Recognition, and Speaker Identification for Overlapped Speech of any Number of Speakers ↗](https://doi.org/10.21437/interspeech.2020-1085)**Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang et al.*74 citations*
60. **[FaceFilter: Audio-Visual Speech Separation Using Still Images ↗](https://doi.org/10.21437/interspeech.2020-1065)**Soo-Whan Chung, Soyeon Choe, Joon Son Chung et al.*73 citations*
61. **[Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation ↗](https://doi.org/10.21437/interspeech.2020-2398)**Felix Kreuk, Joseph Keshet, Yossi Adi*73 citations*
62. **[XiaoiceSing: A High-Quality and Integrated Singing Voice Synthesis System ↗](https://doi.org/10.21437/interspeech.2020-1410)**Peiling Lu, Jie Wu, Jian Luan et al.*73 citations*
63. **[VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1193)**Quan Wang, Ignacio López Moreno, Mert Sağlam et al.*70 citations*
64. **[Automated Screening for Alzheimer’s Dementia Through Spontaneous Speech ↗](https://doi.org/10.21437/interspeech.2020-3158)**Muhammad Shehram Shah Syed, Zafi Sherhan Syed, Margaret Lech et al.*69 citations*
65. **[Towards an ASR Error Robust Spoken Language Understanding System ↗](https://doi.org/10.21437/interspeech.2020-2844)**Weitong Ruan, Yaroslav Nechaev, Luoxin Chen et al.*68 citations*
66. **[Multimodal Inductive Transfer Learning for Detection of Alzheimer’s Dementia and its Severity ↗](https://doi.org/10.21437/interspeech.2020-3137)**Utkarsh Sarawgi, Wazeer Deen Zulfikar, Nouran Soliman et al.*67 citations*
67. **[A Multi-Scale Fusion Framework for Bimodal Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2020-3156)**Ming Chen, Xudong Zhao*66 citations*
68. **[Spoofing Attack Detection Using the Non-Linear Fusion of Sub-Band Classifiers ↗](https://doi.org/10.21437/interspeech.2020-1844)**Hemlata Tak, José Félix Patiño, Andreas Nautsch et al.*65 citations*
69. **[CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech ↗](https://doi.org/10.21437/interspeech.2020-1251)**Sri Karlapati, Alexis Moinet, Arnaud Joly et al.*64 citations*
70. **[SEANet: A Multi-Modal Speech Enhancement Network ↗](https://doi.org/10.21437/interspeech.2020-1563)**Marco Tagliasacchi, Yunpeng Li, Karolis Misiunas et al.*64 citations*
71. **[Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer’s Disease and Assess its Severity ↗](https://doi.org/10.21437/interspeech.2020-2587)**Raghavendra Reddy Pappagari, Jaejin Cho, Laureano Moro-Velázquez et al.*64 citations*
72. **[VocGAN: A High-Fidelity Real-Time Vocoder with a Hierarchically-Nested Adversarial Network ↗](https://doi.org/10.21437/interspeech.2020-1238)**Jinhyeok Yang, Junmo Lee, Young-Ik Kim et al.*64 citations*
73. **[Exploiting Multi-Modal Features from Pre-Trained Networks for Alzheimer’s Dementia Recognition ↗](https://doi.org/10.21437/interspeech.2020-3153)**Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo et al.*63 citations*
74. **[Speech-XLNet: Unsupervised Acoustic Model Pretraining for Self-Attention Networks ↗](https://doi.org/10.21437/interspeech.2020-1511)**Xingchen Song, Guangsen Wang, Yiheng Huang et al.*62 citations*
75. **[Deep Learning Based Assessment of Synthetic Speech Naturalness ↗](https://doi.org/10.21437/interspeech.2020-2382)**Gabriel Mittag, Sebastian Möller*61 citations*
76. **[Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning ↗](https://doi.org/10.21437/interspeech.2020-2164)**Wenxin Hou, Yue Dong, Bairong Zhuang et al.*61 citations*
77. **[Learning Fast Adaptation on Cross-Accented Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-45)**Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu et al.*61 citations*
78. **[Serialized Output Training for End-to-End Overlapped Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-999)**Naoyuki Kanda, Yashesh Gaur, Xiaofei Wang et al.*61 citations*
79. **[A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences ↗](https://doi.org/10.21437/interspeech.2020-1191)**Pranay Manocha, Adam Finkelstein, Richard Zhang et al.*60 citations*
80. **[Efficient Wait-k Models for Simultaneous Machine Translation ↗](https://doi.org/10.21437/interspeech.2020-1241)**Maha Elbayad, Laurent Besacier, Jakob Jozef Verbeek*59 citations*
81. **[Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2020-1955)**Qing Wang, Pengcheng Guo, Lei Xie*59 citations*
82. **[AutoSpeech: Neural Architecture Search for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2020-1258)**Shaojin Ding, Tianlong Chen, Xinyu Gong et al.*57 citations*
83. **[End-to-End Neural Transformer Based Spoken Language Understanding ↗](https://doi.org/10.21437/interspeech.2020-1963)**Martin Radfar, Athanasios Mouchtaris, Siegfried Kunzmann*57 citations*
84. **[Listen to What You Want: Neural Network-Based Universal Sound Selector ↗](https://doi.org/10.21437/interspeech.2020-2210)**Tsubasa Ochiai, Marc Delcroix, Yuma Koizumi et al.*57 citations*
85. **[Controllable Neural Text-to-Speech Synthesis Using Intuitive Prosodic Features ↗](https://doi.org/10.21437/interspeech.2020-2861)**Tuomo Raitio, Ramya Rasipuram, Dan Castellani*56 citations*
86. **[Group Gated Fusion on Attention-Based Bidirectional Alignment for Multimodal Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2020-2067)**Pengfei Liu, Kun Li, Helen M. L. Meng*56 citations*
87. **[Hybrid Network Feature Extraction for Depression Assessment from Speech ↗](https://doi.org/10.21437/interspeech.2020-2396)**Ziping Zhao, Qifei Li, Nicholas Cummins et al.*56 citations*
88. **[A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition ↗](https://doi.org/10.21437/interspeech.2020-2635)**Nicholas Cummins, Yilin Pan, Zhao Xu Ren et al.*55 citations*
89. **[Context-Aware Goodness of Pronunciation for Computer-Assisted Pronunciation Training ↗](https://doi.org/10.21437/interspeech.2020-2953)**Jiatong Shi, Nan Huo, Qin Jin*55 citations*
90. **[Investigation of Data Augmentation Techniques for Disordered Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1161)**Mengzhe Geng, Xurong Xie, Shansong Liu et al.*55 citations*
91. **[One Model, Many Languages: Meta-Learning for Multilingual Text-to-Speech ↗](https://doi.org/10.21437/interspeech.2020-2679)**Tomáš Nekvinda, Ondřej Dušek*54 citations*
92. **[An Open-Source Voice Type Classifier for Child-Centered Daylong Recordings ↗](https://doi.org/10.21437/interspeech.2020-1690)**Marvin Lavechin, Ruben Bousbib, Hervé Bredin et al.*53 citations*
93. **[Attentron: Few-Shot Text-to-Speech Utilizing Attention-Based Variable-Length Embedding ↗](https://doi.org/10.21437/interspeech.2020-2096)**Seungwoo Choi, Seungju Han, Dongyoung Kim et al.*53 citations*
94. **[Converting Anyone’s Emotion: Towards Speaker-Independent Emotional Voice Conversion ↗](https://doi.org/10.21437/interspeech.2020-2014)**Kun Zhou, Berrak Şişman, Mingyang Zhang et al.*53 citations*
95. **[Exploring Transformers for Large-Scale Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-2638)**Liang Lu, Changliang Liu, Jinyu Li et al.*53 citations*
96. **[Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard ↗](https://doi.org/10.21437/interspeech.2020-1488)**Zoltán Tüske, George Saon, Kartik Audhkhasi et al.*53 citations*
97. **[Bi-Encoder Transformer Network for Mandarin-English Code-Switching Speech Recognition Using Mixture of Experts ↗](https://doi.org/10.21437/interspeech.2020-2485)**Yizhou Lu, Mingkun Huang, Hao Li et al.*52 citations*
98. **[Efficient Minimum Word Error Rate Training of RNN-Transducer for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2020-1557)**Jinxi Guo, Gautam Tiwari, Jasha Droppo et al.*52 citations*
99. **[Speech Recognition and Multi-Speaker Diarization of Long Conversations ↗](https://doi.org/10.21437/interspeech.2020-3039)**Huanru Henry Mao, S. X. Li, Julian McAuley et al.*52 citations*
100. **[Streaming Transformer-Based Acoustic Models Using Self-Attention with Augmented Memory ↗](https://doi.org/10.21437/interspeech.2020-2079)**Chunyang Wu, Yongqiang Wang, Yangyang Shi et al.*52 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/10/) [11](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/11/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2020/) — Interspeech 2020