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title: "Interspeech 2021 — all accepted papers, page 3"
description: "All 963 papers of Interspeech 2021 · page 3 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 3 of 10 · the most cited first · [← Interspeech 2021](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2021/)

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201. **[Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data ↗](https://doi.org/10.21437/interspeech.2021-1320)**Tong Xia, Jing Han, Lorena Qendro et al.*20 citations*
202. **[“You don’t understand me!”: Comparing ASR Results for L1 and L2 Speakers of Swedish ↗](https://doi.org/10.21437/interspeech.2021-2140)**Ronald Cumbal, Birger Moëll, José Lopes et al.*20 citations*
203. **[Controllable Context-Aware Conversational Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2021-412)**Jian Cong, Shan Yang, Na Hu et al.*19 citations*
204. **[MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment ↗](https://doi.org/10.21437/interspeech.2021-659)**Meng Yu, Chunlei Zhang, Yong Xu et al.*19 citations*
205. **[Noisy Student-Teacher Training for Robust Keyword Spotting ↗](https://doi.org/10.21437/interspeech.2021-72)**Hyunjin Park, Pai Zhu, Ignacio López Moreno et al.*19 citations*
206. **[Speaker Attentive Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2021-573)**Clément Le Moine Veillon, Nicolas Obin, Axel Röebel*19 citations*
207. **[Y2-Net FCRN for Acoustic Echo and Noise Suppression ↗](https://doi.org/10.21437/interspeech.2021-1590)**Ernst Seidel, Jan Franzen, Maximilian Strake et al.*19 citations*
208. **[Applying TDNN Architectures for Analyzing Duration Dependencies on Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2021-2168)**Pooja Kumawat, Aurobinda Routray*18 citations*
209. **[Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning ↗](https://doi.org/10.21437/interspeech.2021-1888)**Nilaksh Das, Sravan Bodapati, Monica Sunkara et al.*18 citations*
210. **[Bi-Directional Joint Neural Networks for Intent Classification and Slot Filling ↗](https://doi.org/10.21437/interspeech.2021-2044)**Soyeon Caren Han, Siqu Long, Huichun Li et al.*18 citations*
211. **[Detecting Alzheimer’s Disease Using Interactional and Acoustic Features from Spontaneous Speech ↗](https://doi.org/10.21437/interspeech.2021-1526)**Shamila Nasreen, Julian Hough, Matthew Purver*18 citations*
212. **[Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2021-641)**Jason W. Pelecanos, Quan Wang, Ignacio López Moreno*18 citations*
213. **[Enriching Source Style Transfer in Recognition-Synthesis Based Non-Parallel Voice Conversion ↗](https://doi.org/10.21437/interspeech.2021-1351)**Zhichao Wang, Xinyong Zhou, Fengyu Yang et al.*18 citations*
214. **[Glow-WaveGAN: Learning Speech Representations from GAN-Based Variational Auto-Encoder for High Fidelity Flow-Based Speech Synthesis ↗](https://doi.org/10.21437/interspeech.2021-414)**Jian Cong, Shan Yang, Lei Xie et al.*18 citations*
215. **[Graph-Based Label Propagation for Semi-Supervised Speaker Identification ↗](https://doi.org/10.21437/interspeech.2021-1209)**Long Chen, Venkatesh Ravichandran, Andreas Stolcke*18 citations*
216. **[Joint Feature Enhancement and Speaker Recognition with Multi-Objective Task-Oriented Network ↗](https://doi.org/10.21437/interspeech.2021-1978)**Yibo Wu, Longbiao Wang, Kong Aik Lee et al.*18 citations*
217. **[On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR ↗](https://doi.org/10.21437/interspeech.2021-1679)**Tsz Kin Lam, Mayumi Ohta, Shigehiko Schamoni et al.*18 citations*
218. **[Voting for the Right Answer: Adversarial Defense for Speaker Verification ↗](https://doi.org/10.21437/interspeech.2021-1452)**Haibin Wu, Yang Zhang, Zhiyong Wu et al.*18 citations*
219. **[Aligned Contrastive Predictive Coding ↗](https://doi.org/10.21437/interspeech.2021-1544)**Jan Chorowski, Grzegorz Ciesielski, Jarosław Dzikowski et al.*17 citations*
220. **[Detecting COVID-19 from Audio Recording of Coughs Using Random Forests and Support Vector Machines ↗](https://doi.org/10.21437/interspeech.2021-2191)**Isabella Södergren, Maryam Pahlavan Nodeh, Prakash Chandra Chhipa et al.*17 citations*
221. **[Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification ↗](https://doi.org/10.21437/interspeech.2021-402)**Yidi Jiang, Bidisha Sharma, Maulik C. Madhavi et al.*17 citations*
222. **[Large-Scale Self- and Semi-Supervised Learning for Speech Translation ↗](https://doi.org/10.21437/interspeech.2021-1912)**Changhan Wang, Anne Wu, Juan Pino et al.*17 citations*
223. **[Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia Recognition ↗](https://doi.org/10.21437/interspeech.2021-1288)**Esaú Villatoro-Tello, S. Pavankumar Dubagunta, Julian Fritsch et al.*17 citations*
224. **[Look Who’s Talking: Active Speaker Detection in the Wild ↗](https://doi.org/10.21437/interspeech.2021-2041)**You Jin Kim, Hee-Soo Heo, Soyeon Choe et al.*17 citations*
225. **[Time Delay Estimation for Speaker Localization Using CNN-Based Parametrized GCC-PHAT Features ↗](https://doi.org/10.21437/interspeech.2021-988)**Daniele Salvati, Carlo Drioli, Gian Luca Foresti*17 citations*
226. **[Using Large Self-Supervised Models for Low-Resource Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-631)**Krishna D. N, Pinyi Wang, Bruno Bozza*17 citations*
227. **[Y-Vector: Multiscale Waveform Encoder for Speaker Embedding ↗](https://doi.org/10.21437/interspeech.2021-1707)**Ge Zhu, Fei Jiang, Zhiyao Duan*17 citations*
228. **[Boosting of Contextual Information in ASR for Air-Traffic Call-Sign Recognition ↗](https://doi.org/10.21437/interspeech.2021-1619)**Martin Kocour, Karel Veselý, Alexander Blatt et al.*16 citations*
229. **[Data Augmentation for Spoken Language Understanding via Pretrained Language Models ↗](https://doi.org/10.21437/interspeech.2021-117)**Baolin Peng, Chenguang Zhu, Michael Zeng et al.*16 citations*
230. **[Efficient Conformer with Prob-Sparse Attention Mechanism for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-415)**Xiong Wang, Sining Sun, Lei Xie et al.*16 citations*
231. **[FRILL: A Non-Semantic Speech Embedding for Mobile Devices ↗](https://doi.org/10.21437/interspeech.2021-2070)**Jacob Peplinski, Joel Shor, Sachin Joglekar et al.*16 citations*
232. **[FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications ↗](https://doi.org/10.21437/interspeech.2021-1091)**Young D. Kwon, Jagmohan Chauhan, Cecilia Mascolo C*16 citations*
233. **[Golos: Russian Dataset for Speech Research ↗](https://doi.org/10.21437/interspeech.2021-462)**Nikolay Karpov, Alexander A. Denisenko, Fedor Minkin*16 citations*
234. **[Multilingual Speech Evaluation: Case Studies on English, Malay and Tamil ↗](https://doi.org/10.21437/interspeech.2021-1258)**Huayun Zhang, Ke Shi, Nancy F. Chen*16 citations*
235. **[Pushing the Limits of Non-Autoregressive Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-337)**Edwin G. Ng, Chung‐Cheng Chiu, Yu Zhang et al.*16 citations*
236. **[Scenario-Dependent Speaker Diarization for DIHARD-III Challenge ↗](https://doi.org/10.21437/interspeech.2021-516)**Yuxuan Wang, Jun Du, Maokui He et al.*16 citations*
237. **[Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions ↗](https://doi.org/10.21437/interspeech.2021-1438)**Seong-Gyun Leem, Daniel Fulford, Jukka-Pekka “JP” Onnela et al.*16 citations*
238. **[Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding ↗](https://doi.org/10.21437/interspeech.2021-2210)**Hongning Zhu, Kong Aik Lee, Haizhou Li*16 citations*
239. **[Spectro-Temporal Deep Features for Disordered Speech Assessment and Recognition ↗](https://doi.org/10.21437/interspeech.2021-60)**Mengzhe Geng, Shansong Liu, Jianwei Yu et al.*16 citations*
240. **[Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation ↗](https://doi.org/10.21437/interspeech.2021-1243)**Jisi Zhang, Cătălin Zorilă, Rama Doddipatla et al.*16 citations*
241. **[Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021 ↗](https://doi.org/10.21437/interspeech.2021-1798)**Edresson Casanova, Arnaldo Cândido, Ricardo Corso Fernandes et al.*16 citations*
242. **[A Deep Learning Approach to Multi-Channel and Multi-Microphone Acoustic Echo Cancellation ↗](https://doi.org/10.21437/interspeech.2021-1508)**Hao Zhang, DeLiang Wang*15 citations*
243. **[Arabic Code-Switching Speech Recognition Using Monolingual Data](https://md.research.elamur.ai/free/en/papers/ali-2021-arabic-code-switching-speech-recognition/)**Ahmed M. Abdelatty Ali, Shammur Absar Chowdhury, Amir Hussein et al.*15 citations · our summary*
244. **[Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation ↗](https://doi.org/10.21437/interspeech.2021-799)**John B. Harvill, Yash R. Wani, Mark Hasegawa‐Johnson et al.*15 citations*
245. **[Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information ↗](https://doi.org/10.21437/interspeech.2021-1052)**Adria Mallol-Ragolta, Helena Cuesta, Emilia Gómez et al.*15 citations*
246. **[Inplace Gated Convolutional Recurrent Neural Network for Dual-Channel Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2021-899)**Jinjiang Liu, Xueliang Zhang*15 citations*
247. **[NeMo Inverse Text Normalization: From Development to Production ↗](https://doi.org/10.21437/interspeech.2021-1571)**Yang Zhang, Evelina Bakhturina, Kyle Gorman et al.*15 citations*
248. **[PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge ↗](https://doi.org/10.21437/interspeech.2021-1062)**Madhu R. Kamble, José A. González, Teresa Grau et al.*15 citations*
249. **[Protecting Gender and Identity with Disentangled Speech Representations ↗](https://doi.org/10.21437/interspeech.2021-2163)**Dimitrios Stoidis, Andrea Cavallaro*15 citations*
250. **[Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-2253)**Hiroshi Satō, Tsubasa Ochiai, Marc Delcroix et al.*15 citations*
251. **[Teaching Keyword Spotters to Spot New Keywords with Limited Examples ↗](https://doi.org/10.21437/interspeech.2021-1395)**Abhijeet Awasthi, Kevin Kilgour, Hassan Rom*15 citations*
252. **[Transfer Learning-Based Cough Representations for Automatic Detection of COVID-19 ↗](https://doi.org/10.21437/interspeech.2021-1702)**Rubén Solera-Ureña, Catarina Botelho, Francisco Teixeira et al.*15 citations*
253. **[A Comparison of Supervised and Unsupervised Pre-Training of End-to-End Models ↗](https://doi.org/10.21437/interspeech.2021-654)**Ananya Misra, Dongseong Hwang, Zhouyuan Huo et al.*14 citations*
254. **[A Light-Weight Contextual Spelling Correction Model for Customizing Transducer-Based Speech Recognition Systems ↗](https://doi.org/10.21437/interspeech.2021-379)**Xiaoqiang Wang, Yanqing Liu, Sheng Zhao et al.*14 citations*
255. **[A Systematic Review and Analysis of Multilingual Data Strategies in Text-to-Speech for Low-Resource Languages ↗](https://doi.org/10.21437/interspeech.2021-1565)**Phat Do, Matt Coler, Jelske Dijkstra et al.*14 citations*
256. **[Comparing CTC and LFMMI for Out-of-Domain Adaptation of wav2vec 2.0 Acoustic Model ↗](https://doi.org/10.21437/interspeech.2021-1683)**Apoorv Vyas, Srikanth R. Madikeri, Hervé A. Bourlard*14 citations*
257. **[Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching ↗](https://doi.org/10.21437/interspeech.2021-57)**Wenxin Hou, Jindong Wang, Xu Tan et al.*14 citations*
258. **[Dual Causal/Non-Causal Self-Attention for Streaming End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-1693)**Niko Moritz, Takaaki Hori, Jonathan Le Roux*14 citations*
259. **[Few-Shot Learning of New Sound Classes for Target Sound Extraction ↗](https://doi.org/10.21437/interspeech.2021-1369)**Marc Delcroix, Jorge Bennasar Vázquez, Tsubasa Ochiai et al.*14 citations*
260. **[Implicit Filter-and-Sum Network for End-to-End Multi-Channel Speech Separation ↗](https://doi.org/10.21437/interspeech.2021-1158)**Yi Luo, Nima Mesgarani*14 citations*
261. **[Improving Streaming Transformer Based ASR Under a Framework of Self-Supervised Learning ↗](https://doi.org/10.21437/interspeech.2021-1454)**Songjun Cao, Yueteng Kang, Yanzhe Fu et al.*14 citations*
262. **[Minimum Word Error Rate Training with Language Model Fusion for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-2075)**Zhong Meng, Yu Wu, Naoyuki Kanda et al.*14 citations*
263. **[Rapid Speaker Adaptation for Conformer Transducer: Attention and Bias Are All You Need ↗](https://doi.org/10.21437/interspeech.2021-1884)**Yan Huang, Guoli Ye, Jinyu Li et al.*14 citations*
264. **[Self-Supervised End-to-End ASR for Low Resource L2 Swedish ↗](https://doi.org/10.21437/interspeech.2021-1710)**Ragheb Al-Ghezi, Yaroslav Getman, Aku Rouhe et al.*14 citations*
265. **[Stochastic Process Regression for Cross-Cultural Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2021-610)**Mani Kumar T, Enrique Sánchez, Georgios Tzimiropoulos et al.*14 citations*
266. **[Streaming End-to-End ASR Based on Blockwise Non-Autoregressive Models ↗](https://doi.org/10.21437/interspeech.2021-1556)**Tianzi Wang, Yuya Fujita, Xuankai Chang et al.*14 citations*
267. **[Ultra Fast Speech Separation Model with Teacher Student Learning ↗](https://doi.org/10.21437/interspeech.2021-142)**Sanyuan Chen, Yu Wu, Zhuo Chen et al.*14 citations*
268. **[A Context-Aware Hierarchical BERT Fusion Network for Multi-Turn Dialog Act Detection](https://md.research.elamur.ai/free/en/papers/wu-2021-context-aware-hierarchical-bert-fusion/)**Ting-Wei Wu, Ruolin Su, Biing-Hwang Fred Juang*13 citations · our summary*
269. **[A Preliminary Study of a Two-Stage Paradigm for Preserving Speaker Identity in Dysarthric Voice Conversion ↗](https://doi.org/10.21437/interspeech.2021-208)**Wen-Chin Huang, Kazuhiro Kobayashi, Yuhuai Peng et al.*13 citations*
270. **[A Speech Emotion Recognition Framework for Better Discrimination of Confusions ↗](https://doi.org/10.21437/interspeech.2021-718)**Jiawang Liu, Haoxiang Wang*13 citations*
271. **[Adapting Speaker Embeddings for Speaker Diarisation ↗](https://doi.org/10.21437/interspeech.2021-448)**Youngki Kwon, Jee-weon Jung, Hee-Soo Heo et al.*13 citations*
272. **[An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-1955)**Ruchao Fan, Wei Chu, Peng Chang et al.*13 citations*
273. **[Automatic Lip-Reading with Hierarchical Pyramidal Convolution and Self-Attention for Image Sequences with No Word Boundaries ↗](https://doi.org/10.21437/interspeech.2021-723)**Hang Chen, Jun Du, Yu Hu et al.*13 citations*
274. **[Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention](https://md.research.elamur.ai/free/en/papers/korzekwa-2020-detection-lexical-stress-errors-non/)**Daniel Korzekwa, Roberto Barra-Chicote, Szymon Zaporowski et al.*13 citations · our summary*
275. **[Event Specific Attention for Polyphonic Sound Event Detection ↗](https://doi.org/10.21437/interspeech.2021-684)**Harshavardhan Sundar, Ming Sun, Chao Wang*13 citations*
276. **[Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models ↗](https://doi.org/10.21437/interspeech.2021-1668)**Zhiyun Lu, Wei Han, Yu Zhang et al.*13 citations*
277. **[Incorporating Cross-Speaker Style Transfer for Multi-Language Text-to-Speech ↗](https://doi.org/10.21437/interspeech.2021-1265)**Zengqiang Shang, Zhihua Huang, Haozhe Zhang et al.*13 citations*
278. **[Knowledge Distillation from Multi-Modality to Single-Modality for Person Verification ↗](https://doi.org/10.21437/interspeech.2021-2119)**Leying Zhang, Zhengyang Chen, Yanmin Qian*13 citations*
279. **[Leveraging Pre-Trained Language Model for Speech Sentiment Analysis ↗](https://doi.org/10.21437/interspeech.2021-1723)**Suwon Shon, Pablo Brusco, Jing Samantha Pan et al.*13 citations*
280. **[Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification ↗](https://doi.org/10.21437/interspeech.2021-1980)**Li Zhang, Qing Wang, Kong Aik Lee et al.*13 citations*
281. **[Restoring Degraded Speech via a Modified Diffusion Model ↗](https://doi.org/10.21437/interspeech.2021-1889)**Jianwei Zhang, Suren Jayasuriya, Visar Berisha*13 citations*
282. **[Rich Prosody Diversity Modelling with Phone-Level Mixture Density Network ↗](https://doi.org/10.21437/interspeech.2021-802)**Chenpeng Du, Kai Yu*13 citations*
283. **[Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-Field Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-1190)**Rong Gong, Carl Quillen, Dushyant Sharma et al.*13 citations*
284. **[Self-Supervised Phonotactic Representations for Language Identification ↗](https://doi.org/10.21437/interspeech.2021-1310)**G. Ramesh, C. Shiva Kumar, K. Sri Rama Murty*13 citations*
285. **[Three-Class Overlapped Speech Detection Using a Convolutional Recurrent Neural Network ↗](https://doi.org/10.21437/interspeech.2021-149)**Jee-weon Jung, Hee-Soo Heo, Youngki Kwon et al.*13 citations*
286. **[Unsupervised Learning of Disentangled Speech Content and Style Representation ↗](https://doi.org/10.21437/interspeech.2021-1936)**Andros Tjandra, Ruoming Pang, Yu Zhang et al.*13 citations*
287. **[Weakly-Supervised Word-Level Pronunciation Error Detection in Non-Native English Speech](https://md.research.elamur.ai/free/en/papers/korzekwa-2021-weakly-supervised-word-level-pronunciation/)**Daniel Korzekwa, Jaime Lorenzo-Trueba, Thomas Drugman A et al.*13 citations · our summary*
288. **[A Neural-Network-Based Approach to Identifying Speakers in Novels ↗](https://doi.org/10.21437/interspeech.2021-609)**Yue Chen, Zhen-Hua Ling, Qingfeng Liu*12 citations*
289. **[A Two-Stage Approach to Speech Bandwidth Extension ↗](https://doi.org/10.21437/interspeech.2021-1941)**Ju Lin, Yun Wang, Kaustubh Kalgaonkar et al.*12 citations*
290. **[Acoustic Echo Cancellation with Cross-Domain Learning ↗](https://doi.org/10.21437/interspeech.2021-85)**Lukas Pfeifenberger, Matthias Zöhrer, Franz Pernkopf*12 citations*
291. **[Amortized Neural Networks for Low-Latency Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-712)**Jonathan J. Macoskey, Grant P. Strimel, Jinru Su et al.*12 citations*
292. **[Automatic Error Correction for Speaker Embedding Learning with Noisy Labels ↗](https://doi.org/10.21437/interspeech.2021-2021)**Fuchuan Tong, Yan Liu, Song Li et al.*12 citations*
293. **[BERT-Based Semantic Model for Rescoring N-Best Speech Recognition List ↗](https://doi.org/10.21437/interspeech.2021-313)**Dominique Fohr, Irina Illina*12 citations*
294. **[Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases ↗](https://doi.org/10.21437/interspeech.2021-1913)**Subhashini Venugopalan, Joel Shor, Manoj Plakal et al.*12 citations*
295. **[Cross-Modal Knowledge Distillation Method for Automatic Cued Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-432)**Jianrong Wang, Ziyue Tang, Xuewei Li et al.*12 citations*
296. **[Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data ↗](https://doi.org/10.21437/interspeech.2021-936)**Ziyi Xu, Maximilian Strake, Tim Fingscheidt*12 citations*
297. **[Efficient Weight Factorization for Multilingual Speech Recognition ↗](https://doi.org/10.21437/interspeech.2021-216)**Ngoc-Quan Pham, Tuan Nam Nguyen, Sebastian Stüker et al.*12 citations*
298. **[Evaluating the Vulnerability of End-to-End Automatic Speech Recognition Models to Membership Inference Attacks ↗](https://doi.org/10.21437/interspeech.2021-1188)**Muhammad A. Shah, Joseph Szurley, Markus Mueller et al.*12 citations*
299. **[Extremely Low Footprint End-to-End ASR System for Smart Device ↗](https://doi.org/10.21437/interspeech.2021-819)**Zhifu Gao, Yiwu Yao, Shiliang Zhang et al.*12 citations*
300. **[Fake Audio Detection in Resource-Constrained Settings Using Microfeatures ↗](https://doi.org/10.21437/interspeech.2021-524)**Hira Dhamyal, Ayesha Ali, Ihsan Ayyub Qazi et al.*12 citations*

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