---
title: "Interspeech 2022 — all accepted papers — the most cited first"
description: "All 1,102 papers of Interspeech 2022 · page 1 of 12, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/interspeech-usb/2022/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/) / [2022](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/) / papers

# Interspeech 2022: all accepted papers

1,102 papers · page 1 of 12 · the most cited first · [← Interspeech 2022](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/)

**1** [2](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/10/) [11](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/11/) [12](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/12/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/2/)

1. **[XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale](https://md.research.elamur.ai/free/en/papers/babu-2021-xls-r-self-supervised-cross/)**Arun Babu, Changhan Wang, Andros Tjandra et al.*553 citations · our summary*
2. **[UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022 ↗](https://doi.org/10.21437/interspeech.2022-439)**Takaaki Saeki, Detai Xin, Wataru Nakata et al.*244 citations*
3. **[Does Audio Deepfake Detection Generalize? ↗](https://doi.org/10.21437/interspeech.2022-108)**Nicolas Müller, Pavel Czempin, Franziska Diekmann et al.*243 citations*
4. **[Efficient Training of Audio Transformers with Patchout ↗](https://doi.org/10.21437/interspeech.2022-227)**Khaled Koutini, Jan Schlüter, Hamid Eghbal-zadeh et al.*225 citations*
5. **[MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification ↗](https://doi.org/10.21437/interspeech.2022-563)**Yang Zhang, Zhiqiang Lv, Haibin Wu et al.*132 citations*
6. **[CMGAN: Conformer-based Metric GAN for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2022-517)**Ruizhe Cao, Sherif Abdulatif, Bin Yang*118 citations*
7. **[Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-9996)**Zhifu Gao, Shiliang Zhang, Ian Vince McLoughlin et al.*116 citations*
8. **[Robust Self-Supervised Audio-Visual Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-99)**Bowen Shi, Wei-Ning Hsu, Abdelrahman Mohamed*102 citations*
9. **[WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit ↗](https://doi.org/10.21437/interspeech.2022-483)**Binbin Zhang, Di Wu, Zhendong Peng et al.*101 citations*
10. **[Pushing the limits of raw waveform speaker recognition ↗](https://doi.org/10.21437/interspeech.2022-126)**Jee-weon Jung, Youjin Kim, Hee-Soo Heo et al.*95 citations*
11. **[Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain ↗](https://doi.org/10.21437/interspeech.2022-10653)**Simon Welker, Julius Richter, Timo Gerkmann*94 citations*
12. **[MAE-AST: Masked Autoencoding Audio Spectrogram Transformer ↗](https://doi.org/10.21437/interspeech.2022-10961)**Alan Baade, Puyuan Peng, David F. Harwath*87 citations*
13. **[Frequency Dynamic Convolution: Frequency-Adaptive Pattern Recognition for Sound Event Detection ↗](https://doi.org/10.21437/interspeech.2022-10127)**Hyeonuk Nam, Seong-Hu Kim, Byeong-Yun Ko et al.*84 citations*
14. **[The VoiceMOS Challenge 2022 ↗](https://doi.org/10.21437/interspeech.2022-970)**Wen-Chin Huang, Erica Cooper, Yu Tsao et al.*81 citations*
15. **[MAESTRO: Matched Speech Text Representations through Modality Matching ↗](https://doi.org/10.21437/interspeech.2022-10937)**Zhehuai Chen, Yu Zhang, Andrew Rosenberg et al.*74 citations*
16. **[Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis ↗](https://doi.org/10.21437/interspeech.2022-48)**Yu Wang, Xinsheng Wang, Pengcheng Zhu et al.*72 citations*
17. **[How bad are artifacts?: Analyzing the impact of speech enhancement errors on ASR ↗](https://doi.org/10.21437/interspeech.2022-318)**Kazuma Iwamoto, Tsubasa Ochiai, Marc Delcroix et al.*69 citations*
18. **[SpeechFormer: A Hierarchical Efficient Framework Incorporating the Characteristics of Speech ↗](https://doi.org/10.21437/interspeech.2022-74)**Weidong Chen, Xiaofen Xing, Xiangmin Xu et al.*68 citations*
19. **[Separate What You Describe: Language-Queried Audio Source Separation ↗](https://doi.org/10.21437/interspeech.2022-10894)**Xubo Liu, Haohe Liu, Qiuqiang Kong et al.*66 citations*
20. **[Simple and Effective Zero-shot Cross-lingual Phoneme Recognition ↗](https://doi.org/10.21437/interspeech.2022-60)**Qiantong Xu, Alexei Baevski, Michael Auli*64 citations*
21. **[BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese ↗](https://doi.org/10.21437/interspeech.2022-10177)**Nguyen Luong Tran, Duong Le, Dat Quoc Nguyen*61 citations*
22. **[Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-10674)**Abner Hernandez, Paula Andrea Pérez-Toro, Elmar Nöth et al.*56 citations*
23. **[Streaming Multi-Talker ASR with Token-Level Serialized Output Training ↗](https://doi.org/10.21437/interspeech.2022-7)**Naoyuki Kanda, Jian Wu, Yu Wu et al.*56 citations*
24. **[SASV 2022: The First Spoofing-Aware Speaker Verification Challenge ↗](https://doi.org/10.21437/interspeech.2022-11270)**Jee-weon Jung, Hemlata Tak, Hye-jin Shim et al.*55 citations*
25. **[VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration ↗](https://doi.org/10.21437/interspeech.2022-11026)**Haohe Liu, Xubo Liu, Qiuqiang Kong et al.*53 citations*
26. **[End-to-End Integration of Speech Recognition, Speech Enhancement, and Self-Supervised Learning Representation ↗](https://doi.org/10.21437/interspeech.2022-10839)**Xuankai Chang, Takashi Maekaku, Yuya Fujita et al.*52 citations*
27. **[NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates ↗](https://doi.org/10.21437/interspeech.2022-45)**Seungu Han, Junhyeok Lee*52 citations*
28. **[Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0 ↗](https://doi.org/10.21437/interspeech.2022-10908)**Sebastian Peter Bayerl, Dominik Wagner, Elmar Noeth et al.*50 citations*
29. **[Neural Vocoder is All You Need for Speech Super-resolution ↗](https://doi.org/10.21437/interspeech.2022-11017)**Haohe Liu, Woosung Choi, Xubo Liu et al.*49 citations*
30. **[ConferencingSpeech 2022 Challenge: Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge for Online Conferencing Applications ↗](https://doi.org/10.21437/interspeech.2022-10597)**Gaoxiong Yi, Wei Xiao, Yiming Xiao et al.*47 citations*
31. **[Pruned RNN-T for fast, memory-eﬀicient ASR training ↗](https://doi.org/10.21437/interspeech.2022-10340)**Fangjun Kuang, Liyong Guo, Wei Kang et al.*47 citations*
32. **[Automatic Pronunciation Assessment using Self-Supervised Speech Representation Learning ↗](https://doi.org/10.21437/interspeech.2022-10245)**Eesung Kim, Jae-Jin Jeon, Hyeji Seo et al.*43 citations*
33. **[Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentation ↗](https://doi.org/10.21437/interspeech.2022-11032)**Sravya Popuri, Peng‐Jen Chen, Changhan Wang et al.*43 citations*
34. **[JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech ↗](https://doi.org/10.21437/interspeech.2022-10294)**Dan Lim, Sung‐Hee Jung, Eesung Kim*43 citations*
35. **[Voice Activity Projection: Self-supervised Learning of Turn-taking Events ↗](https://doi.org/10.21437/interspeech.2022-10955)**Erik Ekstedt, Gabriel Skantze*43 citations*
36. **[AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios ↗](https://doi.org/10.21437/interspeech.2022-901)**Yi-Han Wu, Xu Tan, Bohan Li et al.*42 citations*
37. **[On Metric Learning for Audio-Text Cross-Modal Retrieval ↗](https://doi.org/10.21437/interspeech.2022-11115)**Xinhao Mei, Xubo Liu, Jianyuan Sun et al.*42 citations*
38. **[Boosting Self-Supervised Embeddings for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2022-10002)**Kuo-Hsuan Hung, Szu‐Wei Fu, Huan-Hsin Tseng et al.*41 citations*
39. **[TRILLsson: Distilled Universal Paralinguistic Speech Representations ↗](https://doi.org/10.21437/interspeech.2022-118)**Joel Shor, Subhashini Venugopalan*41 citations*
40. **[VQTTS: High-Fidelity Text-to-Speech Synthesis with Self-Supervised VQ Acoustic Feature ↗](https://doi.org/10.21437/interspeech.2022-489)**Chenpeng Du, Yiwei Guo, Xie Chen et al.*41 citations*
41. **[INTERSPEECH 2022 Audio Deep Packet Loss Concealment Challenge ↗](https://doi.org/10.21437/interspeech.2022-10829)**Lorenz Diener, Sten Sootla, Solomiya Branets et al.*40 citations*
42. **[LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT ↗](https://doi.org/10.21437/interspeech.2022-10269)**Rui Wang, Qibing Bai, Junyi Ao et al.*40 citations*
43. **[SepTr: Separable Transformer for Audio Spectrogram Processing ↗](https://doi.org/10.21437/interspeech.2022-249)**Nicolaea Catalin Ristea, Radu Tudor Ionescu, Fahad Shahbaz Khan*40 citations*
44. **[Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset ↗](https://doi.org/10.21437/interspeech.2022-729)**Zehui Yang, Yifan Chen, Lei Luo et al.*39 citations*
45. **[From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization ↗](https://doi.org/10.21437/interspeech.2022-10451)**Federico Landini, Alicia Lozano-Díez, Mireia Díez et al.*38 citations*
46. **[KSC2: An Industrial-Scale Open-Source Kazakh Speech Corpus ↗](https://doi.org/10.21437/interspeech.2022-421)**Saida Mussakhojayeva, Yerbolat Khassanov, Hüseyin Atakan Varol*37 citations*
47. **[Mitigating bias against non-native accents ↗](https://doi.org/10.21437/interspeech.2022-836)**Yuanyuan Zhang, Yixuan Zhang, Bence Mark Halpern et al.*37 citations*
48. **[Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-10043)**Lester Phillip Violeta, Wen Chin Huang, Tomoki Toda*36 citations*
49. **[SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping ↗](https://doi.org/10.21437/interspeech.2022-301)**Yuma Koizumi, Heiga Zen, Kohei Yatabe et al.*36 citations*
50. **[User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning ↗](https://doi.org/10.21437/interspeech.2022-10060)**Tiantian Feng, Raghuveer Peri, Shrikanth Shri Narayanan*36 citations*
51. **[Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2022-10230)**Zihan Zhao, Yanfeng Wang, Yu Wang*35 citations*
52. **[Speaker adaptation for Wav2vec2 based dysarthric ASR ↗](https://doi.org/10.21437/interspeech.2022-10896)**Murali Karthick Baskar, Tim Herzig, Diana Nguyen et al.*35 citations*
53. **[Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Muti-Person Video ↗](https://doi.org/10.21437/interspeech.2022-10920)**Dmitriy Serdyuk, Otavio Braga, Olivier Siohan*35 citations*
54. **[Word Discovery in Visually Grounded, Self-Supervised Speech Models ↗](https://doi.org/10.21437/interspeech.2022-10652)**Puyuan Peng, David F. Harwath*35 citations*
55. **[An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks ↗](https://doi.org/10.21437/interspeech.2022-10610)**Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li et al.*33 citations*
56. **[Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion ↗](https://doi.org/10.21437/interspeech.2022-10249)**Zongyang Du, Berrak Şişman, Kun Zhou et al.*33 citations*
57. **[Personal VAD 2.0: Optimizing Personal Voice Activity Detection for On-Device Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-856)**Shaojin Ding, Rajeev Vijay Rikhye, Qiao Liang et al.*33 citations*
58. **[Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting ↗](https://doi.org/10.21437/interspeech.2022-580)**Hyeon-Kyeong Shin, Hye-Won Han, Doyeon Kim et al.*32 citations*
59. **[SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ↗](https://doi.org/10.21437/interspeech.2022-59)**Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa et al.*32 citations*
60. **[Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction ↗](https://doi.org/10.21437/interspeech.2022-742)**Bing Han, Zhengyang Chen, Yanmin Qian*32 citations*
61. **[Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition? ↗](https://doi.org/10.21437/interspeech.2022-10019)**Sanyuan Chen, Yu Wu, Chengyi Wang et al.*32 citations*
62. **[Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection ↗](https://doi.org/10.21437/interspeech.2022-10078)**Piotr Kawa, Marcin Plata, Piotr Syga*31 citations*
63. **[Fast Real-time Personalized Speech Enhancement: End-to-End Enhancement Network (E3Net) and Knowledge Distillation ↗](https://doi.org/10.21437/interspeech.2022-10962)**Manthan Thakker, Şefik Emre Eskimez, Takuya Yoshioka et al.*31 citations*
64. **[EdiTTS: Score-based Editing for Controllable Text-to-Speech ↗](https://doi.org/10.21437/interspeech.2022-6)**Jaesung Tae, Hyeongju Kim, Taesu Kim*30 citations*
65. **[Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion ↗](https://doi.org/10.21437/interspeech.2022-571)**SiCheng Yang, Methawee Tantrawenith, Haolin Zhuang et al.*30 citations*
66. **[FitHuBERT: Going Thinner and Deeper for Knowledge Distillation of Speech Self-Supervised Models ↗](https://doi.org/10.21437/interspeech.2022-11112)**Yeonghyeon Lee, Kangwook Jang, Jahyun Goo et al.*29 citations*
67. **[ByT5 model for massively multilingual grapheme-to-phoneme conversion ↗](https://doi.org/10.21437/interspeech.2022-538)**Jian Ying Zhu, Cong Zhang, David Jurgens*28 citations*
68. **[Fusion of Self-supervised Learned Models for MOS Prediction ↗](https://doi.org/10.21437/interspeech.2022-10262)**Zhengdong Yang, Wangjin Zhou, Chenhui Chu et al.*28 citations*
69. **[Multi-scale Speaker Diarization with Dynamic Scale Weighting ↗](https://doi.org/10.21437/interspeech.2022-991)**Tae‐Jin Park, Nithin Rao Koluguri, Jagadeesh Balam et al.*28 citations*
70. **[ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding ↗](https://doi.org/10.21437/interspeech.2022-10727)**Yen‐Ju Lu, Xuankai Chang, Chenda Li et al.*27 citations*
71. **[Perceptual Contrast Stretching on Target Feature for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2022-10478)**Rong Chao, Cheng Yu, Szu‐Wei Fu et al.*27 citations*
72. **[Probing speech emotion recognition transformers for linguistic knowledge ↗](https://doi.org/10.21437/interspeech.2022-10371)**Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf et al.*27 citations*
73. **[SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2022-10922)**Georgia Maniati, Alexandra Vioni, Nikolaos Ellinas et al.*27 citations*
74. **[SepIt: Approaching a Single Channel Speech Separation Bound ↗](https://doi.org/10.21437/interspeech.2022-149)**Shahar Lutati, Eliya Nachmani, Lior Wolf*27 citations*
75. **[Transfer Learning Framework for Low-Resource Text-to-Speech using a Large-Scale Unlabeled Speech Corpus ↗](https://doi.org/10.21437/interspeech.2022-225)**Minchan Kim, Myeonghun Jeong, Byoung Jin Choi et al.*27 citations*
76. **[ATST: Audio Representation Learning with Teacher-Student Transformer ↗](https://doi.org/10.21437/interspeech.2022-10126)**Xian LI, Xiaofei Li*26 citations*
77. **[Text-Driven Separation of Arbitrary Sounds ↗](https://doi.org/10.21437/interspeech.2022-11052)**Kevin Kilgour, Beat Gfeller, Qingqing Huang et al.*26 citations*
78. **[Visual Context-driven Audio Feature Enhancement for Robust End-to-End Audio-Visual Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-11311)**Joanna H. Hong, Minsu Kim, Daehun Yoo et al.*26 citations*
79. **[wav2vec2-based Speech Rating System for Children with Speech Sound Disorder ↗](https://doi.org/10.21437/interspeech.2022-10103)**Yaroslav Getman, Ragheb Al-Ghezi, Katja Voskoboinik et al.*26 citations*
80. **[4-bit Conformer with Native Quantization Aware Training for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-10809)**Shaojin Ding, Phoenix Meadowlark‎, Yanzhang He et al.*25 citations*
81. **[Are reported accuracies in the clinical speech machine learning literature overoptimistic? ↗](https://doi.org/10.21437/interspeech.2022-691)**Visar Berisha, Chelsea Krantsevich, Gabriela Stegmann et al.*25 citations*
82. **[DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children’s ASR ↗](https://doi.org/10.21437/interspeech.2022-11128)**Ruchao Fan, Abeer A. Alwan*25 citations*
83. **[Language-specific Characteristic Assistance for Code-switching Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-11426)**Tongtong Song, Qiang Xu, Meng Ge et al.*25 citations*
84. **[QDPN - Quasi-dual-path Network for single-channel Speech Separation ↗](https://doi.org/10.21437/interspeech.2022-700)**Joel Rixen, Matthias Renz*25 citations*
85. **[Speech Quality Assessment through MOS using Non-Matching References ↗](https://doi.org/10.21437/interspeech.2022-407)**Pranay Manocha, Anurag Kumar*25 citations*
86. **[The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction ↗](https://doi.org/10.21437/interspeech.2022-10821)**Jon Barker, Michael A. Akeroyd, Trevor J. Cox et al.*25 citations*
87. **[Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2022-816)**Junrui Ni, Liming Wang, Heting Gao et al.*25 citations*
88. **[VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices ↗](https://doi.org/10.21437/interspeech.2022-10861)**Venkatesh Shenoy Kadandale, Juan Felipe Montesinos, Gloria Haro*25 citations*
89. **[Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings ↗](https://doi.org/10.21437/interspeech.2022-10883)**Paula Andrea Pérez-Toro, Philipp Klumpp, Abner Hernandez et al.*24 citations*
90. **[Distance-Based Sound Separation ↗](https://doi.org/10.21437/interspeech.2022-11100)**Katharine Patterson, Kirk Wilson, Scott Wisdom et al.*24 citations*
91. **[Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification ↗](https://doi.org/10.21437/interspeech.2022-61)**Byeonggeun Kim, Seung-Han Yang, Jangho Kim et al.*24 citations*
92. **[Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation ↗](https://doi.org/10.21437/interspeech.2022-10433)**Samuel Hollands, Daniel J. Blackburn, Heidi Christensen*24 citations*
93. **[Pseudo Label Is Better Than Human Label ↗](https://doi.org/10.21437/interspeech.2022-11034)**Dongseong Hwang, Khe Chai Sim, Zhouyuan Huo et al.*24 citations*
94. **[Speaker Anonymization with Phonetic Intermediate Representations ↗](https://doi.org/10.21437/interspeech.2022-10703)**Sarina Meyer, Florian Lux, Pavel Denisov et al.*24 citations*
95. **[Training and typological bias in ASR performance for world Englishes ↗](https://doi.org/10.21437/interspeech.2022-10869)**May Pik Yu Chan, June Choe, Aini Li et al.*24 citations*
96. **[A Step Towards Preserving Speakers’ Identity While Detecting Depression Via Speaker Disentanglement ↗](https://doi.org/10.21437/interspeech.2022-10798)**Vijay Ravi, Jinhan Wang, Jonathan Flint et al.*23 citations*
97. **[Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck ↗](https://doi.org/10.21437/interspeech.2022-10200)**Youngsik Eom, Yeonghyeon Lee, Ji Sub Um et al.*23 citations*
98. **[Audio-Visual Speech Recognition in MISP2021 Challenge: Dataset Release and Deep Analysis ↗](https://doi.org/10.21437/interspeech.2022-10483)**Hang Chen, Jun Du, Yusheng Dai et al.*23 citations*
99. **[Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis ↗](https://doi.org/10.21437/interspeech.2022-11355)**Yi Chang, Zhao Ren, Quoc Viet Hung Nguyen et al.*23 citations*
100. **[Extended U-Net for Speaker Verification in Noisy Environments ↗](https://doi.org/10.21437/interspeech.2022-155)**Ju-ho Kim, Jungwoo Heo, Hye-jin Shim et al.*23 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/10/) [11](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/11/) [12](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/12/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2022/) — Interspeech 2022
