Interspeech 2019 — accepted papers
Interspeech 2019 is the 2019 edition of the Interspeech. OpenAlex lists 914 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionDaniel Park, William Chan, Yu Zhang et al.3,499 citations · our summary
- wav2vec: Unsupervised Pre-Training for Speech RecognitionSteffen Schneider, Alexei Baevski, Ronan Collobert et al.1,262 citations
- LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeechHeiga Zen, Viet Dang, Rob Clark et al.752 citations
- ASVspoof 2019: Future Horizons in Spoofed and Fake Audio DetectionMassimiliano Todisco, Xin Wang, Ville Vestman et al.683 citations
- VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram MaskingQuan Wang, Hannah Muckenhirn, Kirk Wilson et al.358 citations
- An Unsupervised Autoregressive Model for Speech Representation LearningYu-An Chung, Wei-Ning Hsu, Hao Tang et al.357 citations
- WHAM!: Extending Speech Separation to Noisy EnvironmentsGordon Wichern, Joe Antognini, Michael Flynn et al.338 citations
- Speech Model Pre-Training for End-to-End Spoken Language UnderstandingLoren Lugosch, Mirco Ravanelli, Patrick Ignoto et al.272 citations
- MOSNet: Deep Learning-Based Objective Assessment for Voice ConversionChen-Chou Lo, Szu‐Wei Fu, Wen-Chin Huang et al.256 citations
- STC Antispoofing Systems for the ASVspoof2019 ChallengeGalina Lavrentyeva, Sergey Novoselov, Tseren Andzhukaev et al.245 citations
All accepted papers (914)
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionDaniel Park, William Chan, Yu Zhang et al.3,499 citations · our summary
- wav2vec: Unsupervised Pre-Training for Speech RecognitionSteffen Schneider, Alexei Baevski, Ronan Collobert et al.1,262 citations
- LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeechHeiga Zen, Viet Dang, Rob Clark et al.752 citations
- ASVspoof 2019: Future Horizons in Spoofed and Fake Audio DetectionMassimiliano Todisco, Xin Wang, Ville Vestman et al.683 citations
- VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram MaskingQuan Wang, Hannah Muckenhirn, Kirk Wilson et al.358 citations
- An Unsupervised Autoregressive Model for Speech Representation LearningYu-An Chung, Wei-Ning Hsu, Hao Tang et al.357 citations
- WHAM!: Extending Speech Separation to Noisy EnvironmentsGordon Wichern, Joe Antognini, Michael Flynn et al.338 citations
- Speech Model Pre-Training for End-to-End Spoken Language UnderstandingLoren Lugosch, Mirco Ravanelli, Patrick Ignoto et al.272 citations
- MOSNet: Deep Learning-Based Objective Assessment for Voice ConversionChen-Chou Lo, Szu‐Wei Fu, Wen-Chin Huang et al.256 citations
- STC Antispoofing Systems for the ASVspoof2019 ChallengeGalina Lavrentyeva, Sergey Novoselov, Tseren Andzhukaev et al.245 citations
- Jasper: An End-to-End Convolutional Neural Acoustic ModelJason Li, Vitaly Lavrukhin, Boris Ginsburg et al.243 citations
- End-to-End Neural Speaker Diarization with Permutation-Free ObjectivesYusuke Fujita, Naoyuki Kanda, Shota Horiguchi et al.238 citations
- One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance NormalizationJu-Chieh Chou, Hung-yi Lee232 citations
- Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised TasksSantiago Pascual, Mirco Ravanelli, Joan Serrà et al.219 citations
- Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model IntegrationShigeki Karita, Nelson Yalta, Shinji Watanabe et al.212 citations
- Deep Residual Neural Networks for Audio Spoofing DetectionMoustafa Alzantot, Ziqi Wang, Mani B. Srivastava210 citations
- Topical-Chat: Towards Knowledge-Grounded Open-Domain ConversationsKarthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen et al.204 citations
- Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement AlgorithmsKevin Kilgour, Mauricio Zuluaga, Dominik Roblek et al.197 citations
- Direct Speech-to-Speech Translation with a Sequence-to-Sequence ModelJia Ye, Ron J. Weiss, Fadi Biadsy et al.184 citations
- Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask LearningYuanchao Li, Tianyu Zhao, Tatsuya Kawahara180 citations
- The Second DIHARD Diarization Challenge: Dataset, Task, and BaselinesNeville Ryant, Kenneth Church, Christopher Cieri et al.179 citations
- Very Deep Self-Attention Networks for End-to-End Speech RecognitionNgoc-Quan Pham, Thai‐Son Nguyen, Jan Niehues et al.173 citations
- Language Modeling with Deep TransformersKazuki Irie, Albert Zeyer, Ralf Schlüter et al.170 citations
- Learning Alignment for Multimodal Emotion Recognition from SpeechHaiyang Xu, Hui Zhang, Kun Han et al.170 citations
- Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice CloningYu Zhang, Ron J. Weiss, Heiga Zen et al.170 citations
See all 914 papers in Interspeech 2019 — accepted papers →
Papers with our summary in our library (2)
- SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionInterspeechDaniel S. Park, William Chan, Yu Zhang, et al.2019 · 3,809 citations
- Towards Universal Dialogue Act Tagging for Task-Oriented DialoguesShachi Paul, Rahul Goel, Dilek Hakkani-Tur2019 · 19 citations
Top topics
Speech act theory (1)Dialogue systems (1)Speech & spoken language (1)English (1)
Fields
Arts and Humanities (2)Computer Science (2)
Top authors
🧑🔬Barret Zoph1 work here · 3,809 citations🧑🔬Chung-Cheng Chiu1 work here · 3,809 citations🧑🔬Quoc V. Le1 work here · 3,809 citations🧑🔬William Chan1 work here · 3,809 citations🧑🔬Yu Zhang1 work here · 3,809 citations🧑🔬Dilek Hakkani-Tur1 work here · 19 citations
Top institutions
🏢GoogleMountain View ·
United States1 work here🏢AmazonSeattle ·
United States1 work here🎓Netaji Subhas University of TechnologyNew Delhi ·
India1 work here
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