David Haws - RankMe

28 papers A 5B 1C 2Misc 5Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities. ASRU George Saon, Avihu Dekel, Alexander Brooks, Tohru Nagano, Abraham Daniels, Aharon Satt, Ashish R. Mittal, Brian Kingsbury, David Haws, Edmilson Da Silva Morais, Gakuto Kurata, Hagai Aronowitz, Ibrahim Ibrahim, Hong-Kwang Kuo, Kate Soule, Luis A. Lastras, Masayuki Suzuki, Ron Hoory, Samuel Thomas, Sashi Novitasari, Takashi Fukuda, Vishal Sunder, Xiaodong Cui, Zvi Kons
2025	C	`conf`	Speech Synthesis From Continuous Features Using Per-Token Latent Diffusion. ASRU Arnon Turetzky, Avihu Dekel, Nimrod Shabtay, Slava Shechtman, David Haws, Hagai Aronowitz, Ron Hoory, Yossi Adi
2024	Misc	`conf`	Speak While You Think: Streaming Speech Synthesis During Text Generation. ICASSP Avihu Dekel, Slava Shechtman, Raul Fernandez, David Haws, Zvi Kons, Ron Hoory
2023	J	`jnl`	Speak While You Think: Streaming Speech Synthesis During Text Generation. CoRR Avihu Dekel, Slava Shechtman, Raul Fernandez, David Haws, Zvi Kons, Ron Hoory
2022	A	`conf`	Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis. INTERSPEECH Raul Fernandez, David Haws, Guy Lorberbom, Slava Shechtman, Alexander Sorin
2022	J	`jnl`	Transplantation of Conversational Speaking Style with Interjections in Sequence-to-Sequence Speech Synthesis. CoRR Raul Fernandez, David Haws, Guy Lorberbom, Slava Shechtman, Alexander Sorin
2022	A	`conf`	VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. INTERSPEECH Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury
2022	J	`jnl`	VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. CoRR Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury
2021	A	`conf`	Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. Interspeech Gakuto Kurata, George Saon, Brian Kingsbury, David Haws, Zoltán Tüske
2021	A	`conf`	Reducing Exposure Bias in Training Recurrent Neural Network Transducers. Interspeech Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske
2021	J	`jnl`	Reducing Exposure Bias in Training Recurrent Neural Network Transducers. CoRR Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske
2021	Misc	`conf`	Stable Checkpoint Selection and Evaluation in Sequence to Sequence Speech Synthesis. ICASSP Slava Shechtman, David Haws, Raul Fernandez
2021	—	`conf`	Supervised and unsupervised approaches for controlling narrow lexical focus in sequence-to-sequence speech synthesis. SLT Slava Shechtman, Raul Fernandez, David Haws
2021	A	`conf`	Synthesis of Expressive Speaking Styles with Limited Training Data in a Multi-Speaker, Prosody-Controllable Sequence-to-Sequence Architecture. Interspeech Slava Shechtman, Raul Fernandez, Alexander Sorin, David Haws
2019	Misc	`conf`	Cyclegan Bandwidth Extension Acoustic Modeling for Automatic Speech Recognition. ICASSP David Haws, Xiaodong Cui
2017	J	`jnl`	Polyhedral aspects of score equivalence in Bayesian network structure learning. Math. Program. James Cussens, David Haws, Milan Studený
2016	J	`jnl`	MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Dan He, Irina Rish, David Haws, Laxmi Parida
2016	Misc	`conf`	On the importance of event detection for ASR. ICASSP David Haws, Dimitrios Dimitriadis, George Saon, Samuel Thomas, Michael Picheny
2015	Misc	`conf`	Host Trait Prediction of Metagenomic Data for Topology-Based Visualization. ICDCIT Laxmi Parida, Niina Haiminen, David Haws, Jan Suchodolski
2014	J	`jnl`	Learning Bayesian network structure: Towards the essential graph by integer linear programming tools. Int. J. Approx. Reason. Milan Studený, David Haws
2013	J	`jnl`	Approximate Techniques in Solving Optimal Camera Placement Problems. Int. J. Distributed Sens. Networks Jian Zhao, Ruriko Yoshida, Sen-ching Samson Cheung, David Haws
2013	J	`jnl`	MINT: Mutual Information based Transductive Feature Selection for Genetic Trait Prediction. CoRR Dan He, Irina Rish, David Haws, Simon Teyssedre, Zivan Karaman, Laxmi Parida
2013	J	`jnl`	QuickLexSort: An efficient algorithm for lexicographically sorting nested restrictions of a database. CoRR David Haws
2011	—	`conf`	Approximate techniques in solving optimal camera placement problems. ICCV Workshops Jian Zhao, David Haws, Ruriko Yoshida, Sen-ching Samson Cheung
2009	J	`jnl`	Bayes estimators for phylogenetic reconstruction CoRR Peter Huggins, Wenbin Li, David Haws, Thomas Friedrich, Jinze Liu, Ruriko Yoshida
2005	J	`jnl`	A computational study of integer programming algorithms based on Barvinok's rational functions. Discret. Optim. Jesús A. De Loera, David Haws, Raymond Hemmecke, Peter Huggins, Ruriko Yoshida
2004	J	`jnl`	Short rational functions for toric algebra and applications. J. Symb. Comput. Jesús A. De Loera, David Haws, Raymond Hemmecke, Peter Huggins, Bernd Sturmfels, Ruriko Yoshida
2004	B	`conf`	Three Kinds of Integer Programming Algorithms Based on Barvinok's Rational Functions. IPCO Jesús A. De Loera, David Haws, Raymond Hemmecke, Peter Huggins, Ruriko Yoshida