---
title: "Interspeech 2019 — all accepted papers — the most cited first"
description: "All 914 papers of Interspeech 2019 · page 1 of 10, the most cited first; those with our summary link to it."
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# Interspeech 2019: all accepted papers

914 papers · page 1 of 10 · the most cited first · [← Interspeech 2019](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/)

**1** [2](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/papers/page/10/) [next →](https://md.research.elamur.ai/free/en/venues/interspeech-usb/2019/papers/page/2/)

1. **[SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/park-2019-specaugment-simple-data-augmentation-method/)**Daniel Park, William Chan, Yu Zhang et al.*3,499 citations · our summary*
2. **[wav2vec: Unsupervised Pre-Training for Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1873)**Steffen Schneider, Alexei Baevski, Ronan Collobert et al.*1,262 citations*
3. **[LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech ↗](https://doi.org/10.21437/interspeech.2019-2441)**Heiga Zen, Viet Dang, Rob Clark et al.*752 citations*
4. **[ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection ↗](https://doi.org/10.21437/interspeech.2019-2249)**Massimiliano Todisco, Xin Wang, Ville Vestman et al.*683 citations*
5. **[VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking ↗](https://doi.org/10.21437/interspeech.2019-1101)**Quan Wang, Hannah Muckenhirn, Kirk Wilson et al.*358 citations*
6. **[An Unsupervised Autoregressive Model for Speech Representation Learning ↗](https://doi.org/10.21437/interspeech.2019-1473)**Yu-An Chung, Wei-Ning Hsu, Hao Tang et al.*357 citations*
7. **[WHAM!: Extending Speech Separation to Noisy Environments ↗](https://doi.org/10.21437/interspeech.2019-2821)**Gordon Wichern, Joe Antognini, Michael Flynn et al.*338 citations*
8. **[Speech Model Pre-Training for End-to-End Spoken Language Understanding ↗](https://doi.org/10.21437/interspeech.2019-2396)**Loren Lugosch, Mirco Ravanelli, Patrick Ignoto et al.*272 citations*
9. **[MOSNet: Deep Learning-Based Objective Assessment for Voice Conversion ↗](https://doi.org/10.21437/interspeech.2019-2003)**Chen-Chou Lo, Szu‐Wei Fu, Wen-Chin Huang et al.*256 citations*
10. **[STC Antispoofing Systems for the ASVspoof2019 Challenge ↗](https://doi.org/10.21437/interspeech.2019-1768)**Galina Lavrentyeva, Sergey Novoselov, Tseren Andzhukaev et al.*245 citations*
11. **[Jasper: An End-to-End Convolutional Neural Acoustic Model ↗](https://doi.org/10.21437/interspeech.2019-1819)**Jason Li, Vitaly Lavrukhin, Boris Ginsburg et al.*243 citations*
12. **[End-to-End Neural Speaker Diarization with Permutation-Free Objectives ↗](https://doi.org/10.21437/interspeech.2019-2899)**Yusuke Fujita, Naoyuki Kanda, Shota Horiguchi et al.*238 citations*
13. **[One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization ↗](https://doi.org/10.21437/interspeech.2019-2663)**Ju-Chieh Chou, Hung-yi Lee*232 citations*
14. **[Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks ↗](https://doi.org/10.21437/interspeech.2019-2605)**Santiago Pascual, Mirco Ravanelli, Joan Serrà et al.*219 citations*
15. **[Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration ↗](https://doi.org/10.21437/interspeech.2019-1938)**Shigeki Karita, Nelson Yalta, Shinji Watanabe et al.*212 citations*
16. **[Deep Residual Neural Networks for Audio Spoofing Detection ↗](https://doi.org/10.21437/interspeech.2019-3174)**Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava*210 citations*
17. **[Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations ↗](https://doi.org/10.21437/interspeech.2019-3079)**Karthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen et al.*204 citations*
18. **[Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement Algorithms ↗](https://doi.org/10.21437/interspeech.2019-2219)**Kevin Kilgour, Mauricio Zuluaga, Dominik Roblek et al.*197 citations*
19. **[Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model ↗](https://doi.org/10.21437/interspeech.2019-1951)**Jia Ye, Ron J. Weiss, Fadi Biadsy et al.*184 citations*
20. **[Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning ↗](https://doi.org/10.21437/interspeech.2019-2594)**Yuanchao Li, Tianyu Zhao, Tatsuya Kawahara*180 citations*
21. **[The Second DIHARD Diarization Challenge: Dataset, Task, and Baselines ↗](https://doi.org/10.21437/interspeech.2019-1268)**Neville Ryant, Kenneth Church, Christopher Cieri et al.*179 citations*
22. **[Very Deep Self-Attention Networks for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2702)**Ngoc-Quan Pham, Thai‐Son Nguyen, Jan Niehues et al.*173 citations*
23. **[Language Modeling with Deep Transformers ↗](https://doi.org/10.21437/interspeech.2019-2225)**Kazuki Irie, Albert Zeyer, Ralf Schlüter et al.*170 citations*
24. **[Learning Alignment for Multimodal Emotion Recognition from Speech ↗](https://doi.org/10.21437/interspeech.2019-3247)**Haiyang Xu, Hui Zhang, Kun Han et al.*170 citations*
25. **[Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning ↗](https://doi.org/10.21437/interspeech.2019-2668)**Yu Zhang, Ron J. Weiss, Heiga Zen et al.*170 citations*
26. **[Speech Denoising with Deep Feature Losses ↗](https://doi.org/10.21437/interspeech.2019-1924)**François G. Germain, Qifeng Chen, Vladlen Koltun*167 citations*
27. **[Temporal Convolution for Real-Time Keyword Spotting on Mobile Devices ↗](https://doi.org/10.21437/interspeech.2019-1363)**Seungwoo Choi, Seokjun Seo, Beomjun Shin et al.*163 citations*
28. **[RawNet: Advanced End-to-End Deep Neural Network Using Raw Waveforms for Text-Independent Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-1982)**Jee-weon Jung, Hee-Soo Heo, Ju-ho Kim et al.*161 citations*
29. **[ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks ↗](https://doi.org/10.21437/interspeech.2019-1794)**Cheng-I Lai, Nanxin Chen, Jesús Villalba et al.*155 citations*
30. **[Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model ↗](https://doi.org/10.21437/interspeech.2019-2858)**Anjuli Kannan, Arindrima Datta, Tara N. Sainath et al.*155 citations*
31. **[Data Augmentation Using GANs for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-2561)**Aggelina Chatziagapi, Georgios Paraskevopoulos, Dimitris Sgouropoulos et al.*154 citations*
32. **[Large-Scale Visual Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1669)**Brendan Shillingford, Yannis Assael, Matthew W. Hoffman et al.*154 citations*
33. **[StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion ↗](https://doi.org/10.21437/interspeech.2019-2236)**Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka et al.*154 citations*
34. **[End-to-End Speech Translation with Knowledge Distillation ↗](https://doi.org/10.21437/interspeech.2019-2582)**Yuchen Liu, Hao Xiong, Jiajun Zhang et al.*150 citations*
35. **[A Scalable Noisy Speech Dataset and Online Subjective Test Framework ↗](https://doi.org/10.21437/interspeech.2019-3087)**Chandan K. A. Reddy, Ebrahim Beyrami, Jamie Pool et al.*145 citations*
36. **[RWTH ASR Systems for LibriSpeech: Hybrid vs Attention ↗](https://doi.org/10.21437/interspeech.2019-1780)**Christoph Lüscher, Eugen Beck, Kazuki Irie et al.*144 citations*
37. **[Large Margin Softmax Loss for Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2357)**Yi Liu, Liang Ju He, Jia Liu*135 citations*
38. **[Shallow-Fusion End-to-End Contextual Biasing ↗](https://doi.org/10.21437/interspeech.2019-1209)**Ding Xuan Zhao, Tara N. Sainath, David Rybach et al.*133 citations*
39. **[Self-Attention for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-2822)**Lorenzo Tarantino, Philip N. Garner, Alexandros Lazaridis*126 citations*
40. **[Direct Modelling of Speech Emotion from Raw Speech ↗](https://doi.org/10.21437/interspeech.2019-3252)**Siddique Latif, Rajib Kumar Rana, Sara Khalifa et al.*123 citations*
41. **[Two-Pass End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1341)**Tara N. Sainath, Ruoming Pang, David Rybach et al.*123 citations*
42. **[Adapting Transformer to End-to-End Spoken Language Translation ↗](https://doi.org/10.21437/interspeech.2019-3045)**Mattia Antonino Di Gangi, Matteo Negri, Marco Turchi*121 citations*
43. **[Universal Adversarial Perturbations for Speech Recognition Systems ↗](https://doi.org/10.21437/interspeech.2019-1353)**Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey et al.*121 citations*
44. **[Self Multi-Head Attention for Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2019-2616)**Miquel India, Pooyan Safari, Javier Hernando*117 citations*
45. **[Personalizing ASR for Dysarthric and Accented Speech with Limited Data ↗](https://doi.org/10.21437/interspeech.2019-1427)**Joel Shor, Dotan Emanuel, Oran Lang et al.*114 citations*
46. **[BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer ↗](https://doi.org/10.21437/interspeech.2019-1355)**Guan-Lin Chao, Ian Richard Lane*109 citations*
47. **[Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation ↗](https://doi.org/10.21437/interspeech.2019-1789)**Fadi Biadsy, Ron J. Weiss, Pedro J. Moreno et al.*107 citations*
48. **[Ensemble Models for Spoofing Detection in Automatic Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-2505)**Bhusan Chettri, Daniel Stoller, Veronica Morfi et al.*103 citations*
49. **[Joint Speech Recognition and Speaker Diarization via Sequence Transduction ↗](https://doi.org/10.21437/interspeech.2019-1943)**Laurent El Shafey, Hagen Soltau, Izhak Shafran J*103 citations*
50. **[Learning Speaker Representations with Mutual Information ↗](https://doi.org/10.21437/interspeech.2019-2380)**Mirco Ravanelli, Yoshua Bengio*96 citations*
51. **[LSTM Based Similarity Measurement with Spectral Clustering for Speaker Diarization ↗](https://doi.org/10.21437/interspeech.2019-1388)**Qingjian Lin, Ruiqing Yin, Ming Li et al.*93 citations*
52. **[Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information ↗](https://doi.org/10.21437/interspeech.2019-2266)**Rongzhi Gu, Lianwu Chen, Shi-Xiong Zhang et al.*93 citations*
53. **[The Zero Resource Speech Challenge 2019: TTS Without T ↗](https://doi.org/10.21437/interspeech.2019-2904)**Ewan Dunbar, Robin Algayres, Julien Karadayi et al.*93 citations*
54. **[State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18 ↗](https://doi.org/10.21437/interspeech.2019-2713)**Jesús Villalba, Nanxin Chen, David Snyder et al.*90 citations*
55. **[CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages ↗](https://doi.org/10.21437/interspeech.2019-1500)**Kyubyong Park, Thomas Mulc*89 citations*
56. **[A Comprehensive Study of Speech Separation: Spectrogram vs Waveform Separation ↗](https://doi.org/10.21437/interspeech.2019-3181)**Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu et al.*88 citations*
57. **[Recursive Speech Separation for Unknown Number of Speakers ↗](https://doi.org/10.21437/interspeech.2019-1550)**Naoya Takahashi, Parthasaarathy Sudarsanam, Nabarun Goswami et al.*87 citations*
58. **[Towards Achieving Robust Universal Neural Vocoding ↗](https://doi.org/10.21437/interspeech.2019-1424)**Jaime Lorenzo-Trueba, Thomas Drugman A, Javier Latorre et al.*87 citations*
59. **[Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-2753)**Jack Parry, Dimitri Palaz, Georgia Clarke et al.*85 citations*
60. **[A Real-Time Wideband Neural Vocoder at 1.6kb/s Using LPCNet ↗](https://doi.org/10.21437/interspeech.2019-1255)**Jean-Marc Valin, Jan Skoglund*82 citations*
61. **[CycleGAN-Based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-2293)**Fang Bao, Michael Neumann, Ngoc Thang Vu*82 citations*
62. **[HyST: A Hybrid Approach for Flexible and Accurate Dialogue State Tracking ↗](https://doi.org/10.21437/interspeech.2019-1863)**Rahul Goel, Shachi Paul, Dilek Zeynep Hakkani-Tür*82 citations*
63. **[A Light Convolutional GRU-RNN Deep Feature Extractor for ASV Spoofing Detection ↗](https://doi.org/10.21437/interspeech.2019-2212)**Alejandro Gomez-Alanis, Antonio M. Peinado, José A. González et al.*81 citations*
64. **[Articulatory Analysis of Transparent Vowel /iː/ in Harmonic and Antiharmonic Hungarian Stems: Is There a Difference? ↗](https://doi.org/10.21437/interspeech.2019-2352)**Alexandra Markó, M. Bartók, Tamás Gábor Csapó et al.*81 citations*
65. **[VoiceID Loss: Speech Enhancement for Speaker Verification ↗](https://doi.org/10.21437/interspeech.2019-1496)**Suwon Shon, Hao Tang, James Glass*81 citations*
66. **[Multi-Stream Network with Temporal Attention for Environmental Sound Classification ↗](https://doi.org/10.21437/interspeech.2019-3019)**Xinyu Li, Venkata Chebiyyam, Katrin Kirchhoff*79 citations*
67. **[On the End-to-End Solution to Mandarin-English Code-Switching Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-1429)**Zhiping Zeng, Yerbolat Khassanov, Van Tung Pham et al.*79 citations*
68. **[Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions ↗](https://doi.org/10.21437/interspeech.2019-2460)**Awni Hannun, Ann Lee, Qiantong Xu et al.*79 citations*
69. **[Robust Sequence-to-Sequence Acoustic Modeling with Stepwise Monotonic Attention for Neural TTS ↗](https://doi.org/10.21437/interspeech.2019-1972)**Mutian He, Yan Deng, Lei He*76 citations*
70. **[A Deep Neural Network for Short-Segment Speaker Recognition ↗](https://doi.org/10.21437/interspeech.2019-2240)**Amirhossein Hajavi, Ali Etemad*75 citations*
71. **[Nonparallel Emotional Speech Conversion ↗](https://doi.org/10.21437/interspeech.2019-2878)**Jian Gao, Deep Chakraborty, Hamidou Tembiné et al.*73 citations*
72. **[End-to-End Text-to-Speech for Low-Resource Languages by Cross-Lingual Transfer Learning ↗](https://doi.org/10.21437/interspeech.2019-2730)**Yuan-Jui Chen, Tao Tu, Cheng-chieh Yeh et al.*72 citations*
73. **[Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-1649)**Ziping Zhao, Zhongtian Bao, Zixing Zhang et al.*71 citations*
74. **[Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions ↗](https://doi.org/10.21437/interspeech.2019-2651)**Hao Zhang, Ke Tan, DeLiang Wang*70 citations*
75. **[A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews ↗](https://doi.org/10.21437/interspeech.2019-2036)**Adria Mallol-Ragolta, Ziping Zhao, Lukas Stappen et al.*69 citations*
76. **[Code-Switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation ↗](https://doi.org/10.21437/interspeech.2019-3214)**Ching-Ting Chang, Shun-Po Chuang, Hung-yi Lee*69 citations*
77. **[Self-Attention Transducers for End-to-End Speech Recognition ↗](https://doi.org/10.21437/interspeech.2019-2203)**Zhengkun Tian, Jiangyan Yi, Jianhua Tao et al.*69 citations*
78. **[Non-Parallel Voice Conversion with Cyclic Variational Autoencoder ↗](https://doi.org/10.21437/interspeech.2019-2307)**Patrick Lumban Tobing, Yi-Chiao Wu, Tomoki Hayashi et al.*68 citations*
79. **[Adversarially Trained End-to-End Korean Singing Voice Synthesis System ↗](https://doi.org/10.21437/interspeech.2019-1722)**Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon et al.*66 citations*
80. **[Improving Aggregation and Loss Function for Better Embedding Learning in End-to-End Speaker Verification System ↗](https://doi.org/10.21437/interspeech.2019-1489)**Zhifu Gao, Yan Song, Ian Vince McLoughlin et al.*66 citations*
81. **[Does the Lombard Effect Improve Emotional Communication in Noise? — Analysis of Emotional Speech Acted in Noise ↗](https://doi.org/10.21437/interspeech.2019-1605)**Yi Hong Zhao, Atsushi Ando, Shinji Takaki et al.*65 citations*
82. **[Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition ↗](https://doi.org/10.21437/interspeech.2019-3068)**Md Asif Jalal, Erfan Loweimi, Roger K. Moore et al.*65 citations*
83. **[The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion ↗](https://doi.org/10.21437/interspeech.2019-1230)**Weicheng Cai, Haiwei Wu, Danwei Cai et al.*65 citations*
84. **[VQVAE Unsupervised Unit Discovery and Multi-Scale Code2Spec Inverter for Zerospeech Challenge 2019 ↗](https://doi.org/10.21437/interspeech.2019-3232)**Andros Tjandra, Berrak Şişman, Mingyang Zhang et al.*65 citations*
85. **[Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech ↗](https://doi.org/10.21437/interspeech.2019-2571)**Viacheslav Klimkov, Srikanth Ronanki, Jonas Rohnke et al.*64 citations*
86. **[The 2018 NIST Speaker Recognition Evaluation ↗](https://doi.org/10.21437/interspeech.2019-1351)**Seyed Omid Sadjadi, Craig S. Greenberg, Elliot Singer et al.*64 citations*
87. **[Bayesian HMM Based x-Vector Clustering for Speaker Diarization ↗](https://doi.org/10.21437/interspeech.2019-2813)**Mireia Díez, Lukáš Burget, Shuai Wang et al.*63 citations*
88. **[Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge ↗](https://doi.org/10.21437/interspeech.2019-2892)**Hossein Zeinali, Themos Stafylakis, Georgia Athanasopoulou et al.*62 citations*
89. **[Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASR ↗](https://doi.org/10.21437/interspeech.2019-1167)**Naoyuki Kanda, Christoph Boeddeker, Jens Heitkaemper et al.*62 citations*
90. **[SPEAK YOUR MIND! Towards Imagined Speech Recognition with Hierarchical Deep Learning ↗](https://doi.org/10.21437/interspeech.2019-3041)**Pramit Saha, Muhammad Abdul-Mageed, Sidney Fels*62 citations*
91. **[Deep Speaker Embedding Extraction with Channel-Wise Feature Responses and Additive Supervision Softmax Loss Function ↗](https://doi.org/10.21437/interspeech.2019-1704)**Jianfeng Zhou, Tao Jiang, Zheng Li et al.*60 citations*
92. **[Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding ↗](https://doi.org/10.21437/interspeech.2019-1632)**Mengnan Chen, Minchuan Chen, Shuang Liang et al.*59 citations*
93. **[Fusion Techniques for Utterance-Level Emotion Recognition Combining Speech and Transcripts ↗](https://doi.org/10.21437/interspeech.2019-3201)**Jilt Sebastian, Piero Pierucci*59 citations*
94. **[Multimodal SpeakerBeam: Single Channel Target Speech Extraction with Audio-Visual Speaker Clues ↗](https://doi.org/10.21437/interspeech.2019-1513)**Tsubasa Ochiai, Marc Delcroix, Keisuke Kinoshita et al.*58 citations*
95. **[Semi-Supervised Sequence-to-Sequence ASR Using Unpaired Speech and Text ↗](https://doi.org/10.21437/interspeech.2019-3167)**Murali Karthick Baskar, Shinji Watanabe, Ramón Fernández Astudillo et al.*57 citations*
96. **[Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization ↗](https://doi.org/10.21437/interspeech.2019-2420)**Shreya Khare, Rahul Aralikatte, Senthil Mani*56 citations*
97. **[An Improved Goodness of Pronunciation (GoP) Measure for Pronunciation Evaluation with DNN-HMM System Considering HMM Transition Probabilities ↗](https://doi.org/10.21437/interspeech.2019-2363)**Sweekar Sudhakara, Manoj Kumar Ramanathi, Chiranjeevi Yarra et al.*56 citations*
98. **[Joint Training Framework for Text-to-Speech and Voice Conversion Using Multi-Source Tacotron and WaveNet ↗](https://doi.org/10.21437/interspeech.2019-1357)**Mingyang Zhang, Xin Wang, Fuming Fang et al.*56 citations*
99. **[The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity ↗](https://doi.org/10.21437/interspeech.2019-1122)**Björn Wolfgang Schuller, Anton M. Batliner, Christian Bergler et al.*56 citations*
100. **[Towards Robust Speech Emotion Recognition Using Deep Residual Networks for Speech Enhancement ↗](https://doi.org/10.21437/interspeech.2019-1811)**Andreas Triantafyllopoulos, Gil Keren, Johannes Wagner et al.*56 citations*

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