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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

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

  1. SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionDaniel Park, William Chan, Yu Zhang et al.3,499 citations · our summary
  2. wav2vec: Unsupervised Pre-Training for Speech RecognitionSteffen Schneider, Alexei Baevski, Ronan Collobert et al.1,262 citations
  3. LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeechHeiga Zen, Viet Dang, Rob Clark et al.752 citations
  4. ASVspoof 2019: Future Horizons in Spoofed and Fake Audio DetectionMassimiliano Todisco, Xin Wang, Ville Vestman et al.683 citations
  5. VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram MaskingQuan Wang, Hannah Muckenhirn, Kirk Wilson et al.358 citations
  6. An Unsupervised Autoregressive Model for Speech Representation LearningYu-An Chung, Wei-Ning Hsu, Hao Tang et al.357 citations
  7. WHAM!: Extending Speech Separation to Noisy EnvironmentsGordon Wichern, Joe Antognini, Michael Flynn et al.338 citations
  8. Speech Model Pre-Training for End-to-End Spoken Language UnderstandingLoren Lugosch, Mirco Ravanelli, Patrick Ignoto et al.272 citations
  9. MOSNet: Deep Learning-Based Objective Assessment for Voice ConversionChen-Chou Lo, Szu‐Wei Fu, Wen-Chin Huang et al.256 citations
  10. STC Antispoofing Systems for the ASVspoof2019 ChallengeGalina Lavrentyeva, Sergey Novoselov, Tseren Andzhukaev et al.245 citations

All accepted papers (914)

The most cited first; 2 with our summary link to their page here, the others to the original.

  1. SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionDaniel Park, William Chan, Yu Zhang et al.3,499 citations · our summary
  2. wav2vec: Unsupervised Pre-Training for Speech RecognitionSteffen Schneider, Alexei Baevski, Ronan Collobert et al.1,262 citations
  3. LibriTTS: A Corpus Derived from LibriSpeech for Text-to-SpeechHeiga Zen, Viet Dang, Rob Clark et al.752 citations
  4. ASVspoof 2019: Future Horizons in Spoofed and Fake Audio DetectionMassimiliano Todisco, Xin Wang, Ville Vestman et al.683 citations
  5. VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram MaskingQuan Wang, Hannah Muckenhirn, Kirk Wilson et al.358 citations
  6. An Unsupervised Autoregressive Model for Speech Representation LearningYu-An Chung, Wei-Ning Hsu, Hao Tang et al.357 citations
  7. WHAM!: Extending Speech Separation to Noisy EnvironmentsGordon Wichern, Joe Antognini, Michael Flynn et al.338 citations
  8. Speech Model Pre-Training for End-to-End Spoken Language UnderstandingLoren Lugosch, Mirco Ravanelli, Patrick Ignoto et al.272 citations
  9. MOSNet: Deep Learning-Based Objective Assessment for Voice ConversionChen-Chou Lo, Szu‐Wei Fu, Wen-Chin Huang et al.256 citations
  10. STC Antispoofing Systems for the ASVspoof2019 ChallengeGalina Lavrentyeva, Sergey Novoselov, Tseren Andzhukaev et al.245 citations
  11. Jasper: An End-to-End Convolutional Neural Acoustic ModelJason Li, Vitaly Lavrukhin, Boris Ginsburg et al.243 citations
  12. End-to-End Neural Speaker Diarization with Permutation-Free ObjectivesYusuke Fujita, Naoyuki Kanda, Shota Horiguchi et al.238 citations
  13. Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised TasksSantiago Pascual, Mirco Ravanelli, Joan Serrà et al.219 citations
  14. Deep Residual Neural Networks for Audio Spoofing DetectionMoustafa Alzantot, Ziqi Wang, Mani B. Srivastava210 citations
  15. Topical-Chat: Towards Knowledge-Grounded Open-Domain ConversationsKarthik Gopalakrishnan, Behnam Hedayatnia, Qinlang Chen et al.204 citations
  16. Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement AlgorithmsKevin Kilgour, Mauricio Zuluaga, Dominik Roblek et al.197 citations
  17. Direct Speech-to-Speech Translation with a Sequence-to-Sequence ModelJia Ye, Ron J. Weiss, Fadi Biadsy et al.184 citations
  18. The Second DIHARD Diarization Challenge: Dataset, Task, and BaselinesNeville Ryant, Kenneth Church, Christopher Cieri et al.179 citations
  19. Very Deep Self-Attention Networks for End-to-End Speech RecognitionNgoc-Quan Pham, Thai‐Son Nguyen, Jan Niehues et al.173 citations
  20. Language Modeling with Deep TransformersKazuki Irie, Albert Zeyer, Ralf Schlüter et al.170 citations
  21. Learning Alignment for Multimodal Emotion Recognition from SpeechHaiyang Xu, Hui Zhang, Kun Han et al.170 citations

See all 914 papers in Interspeech 2019 — accepted papers →

 Papers with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

  1. SpecAugment: A Simple Data Augmentation Method for Automatic Speech RecognitionInterspeechDaniel S. Park, William Chan, Yu Zhang, et al.2019 · 3,809 citations
  2. Towards Universal Dialogue Act Tagging for Task-Oriented DialoguesShachi Paul, Rahul Goel, Dilek Hakkani-Tur2019 · 19 citations

 Top topics

Topics of its works in our library, with the number of works on each.

Speech act theory (1)Dialogue systems (1)Speech & spoken language (1)English (1)

 Fields

Arts and Humanities (2)Computer Science (2)

 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

 Top institutions

Institutions on the bylines of its works here, by the number of works.

works and citations from OpenAlex and our library.

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