Daniel Povey

31.9k total citations · 11 hit papers
178 papers, 15.7k citations indexed

About

Daniel Povey is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Povey has authored 178 papers receiving a total of 15.7k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Artificial Intelligence, 116 papers in Signal Processing and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Povey's work include Speech Recognition and Synthesis (162 papers), Speech and Audio Processing (104 papers) and Music and Audio Processing (76 papers). Daniel Povey is often cited by papers focused on Speech Recognition and Synthesis (162 papers), Speech and Audio Processing (104 papers) and Music and Audio Processing (76 papers). Daniel Povey collaborates with scholars based in United States, China and United Kingdom. Daniel Povey's co-authors include Sanjeev Khudanpur, Guoguo Chen, David Snyder, Vijayaditya Peddinti, Daniel Garcia-Romero, Philip C. Woodland, Gregory Sell, Tom Ko, Lukáš Burget and Arnab Ghoshal and has published in prestigious journals such as IEEE Signal Processing Letters, IEEE Transactions on Audio Speech and Language Processing and IEEE Transactions on Speech and Audio Processing.

In The Last Decade

Daniel Povey

171 papers receiving 13.9k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Librispeech: An ASR corpus based on public domain audio books

2015 3.3k citations Guoguo Chen, Daniel Povey et al. profile →
X-Vectors: Robust DNN Embeddings for Speaker Recognition

2018 1.5k citations David Snyder, Daniel Garcia-Romero et al. profile →
Audio augmentation for speech recognition

2015 694 citations Tom Ko, Vijayaditya Peddinti et al. profile →
A time delay neural network architecture for efficient modeling of long temporal contexts

2015 598 citations Vijayaditya Peddinti, Daniel Povey et al. profile →
A study on data augmentation of reverberant speech for robust speech recognition

2017 493 citations Tom Ko, Vijayaditya Peddinti et al. profile →
Minimum Phone Error and I-smoothing for improved discriminative training

2002 469 citations Daniel Povey et al. profile →
Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI

2016 458 citations Daniel Povey, Vijayaditya Peddinti et al. profile →
Sequence-discriminative training of deep neural networks

2013 458 citations Karel Veselý, Arnab Ghoshal et al. Edinburgh Research Explorer profile →
Deep Neural Network Embeddings for Text-Independent Speaker Verification

2017 454 citations David Snyder, Daniel Garcia-Romero et al. profile →
Strategies for training large scale neural network language models

2011 329 citations Daniel Povey, Lukáš Burget et al. profile →
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

2018 275 citations Daniel Povey, Sanjeev Khudanpur et al. profile →

Peers

Countries citing papers authored by Daniel Povey

Since Specialization

Citations

This map shows the geographic impact of Daniel Povey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Povey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Povey more than expected).

Fields of papers citing papers by Daniel Povey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Povey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Povey. The network helps show where Daniel Povey may publish in the future.

Co-authorship network of co-authors of Daniel Povey

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Povey. A scholar is included among the top collaborators of Daniel Povey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Povey. Daniel Povey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Kaldi Speech Recognition Toolkit 2024 ·Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Daniel Povey	18
2	On Speaker Attribution with SURT 2024 ·Desh Raj, Matthew Wiesner, (unknown), (unknown), Daniel Povey, Sanjeev Khudanpur	1
3	Multi-Channel Multi-Speaker ASR Using Target Speaker’s Solo Segment 2024 ·(unknown), Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Daniel Povey, Sanjeev Khudanpur	0
4	Artificial Intelligence 2022 ·Lecture notes in computer science ·Lu Fang, Daniel Povey, Guangtao Zhai, Tao Mei, (unknown)	1
5	GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio 2021 ·Guoguo Chen, (unknown), (unknown), (unknown), Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, (unknown), Sanjeev Khudanpur, Shinji Watanabe, (unknown), Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Zhao You, (unknown)	117
6	speechocean762: An Open-Source Non-Native English Speech Corpus for Pronunciation Assessment 2021 ·Junbo Zhang, Zhiwen Zhang, Yongqing Wang, (unknown), Qiong Song, (unknown), Ke Li, Daniel Povey, Yujun Wang	31
7	State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18 2019 ·Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, (unknown), Fred Richardson, Suwon Shon, François Grondin, Réda Dehak, Leibny Paola Garcia, Daniel Povey, Pedro A. Torres‐Carrasquillo, Sanjeev Khudanpur, Najim Dehak	50
8	End-to-end Speech Recognition Using Lattice-free MMI 2018 ·Hossein Hadian, Hossein Sameti, Daniel Povey, Sanjeev Khudanpur	87
9	Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification 2018 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Tom Ko, David Snyder, Brian Mak, Daniel Povey	149
10	Spoken Language Recognition using X-vectors 2018 ·David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, Daniel Povey, Sanjeev Khudanpur	121
11	Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge 2018 ·Gregory Sell, David Snyder, Alan McCree, Daniel Garcia-Romero, Jesús Villalba, (unknown), Vimal Manohar, Najim Dehak, Daniel Povey, Shinji Watanabe, Sanjeev Khudanpur	115
12	Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI breakdown → 2016 ·Daniel Povey, Vijayaditya Peddinti, Daniel Gálvez, Pegah Ghahremani, Vimal Manohar, Xingyu Na, Yiming Wang, Sanjeev Khudanpur	458
13	A time delay neural network architecture for efficient modeling of long temporal contexts breakdown → 2015 ·Vijayaditya Peddinti, Daniel Povey, Sanjeev Khudanpur	598
14	Translations of the Callhome Egyptian Arabic corpus for conversational speech translation. 2014 ·IWSLT ·Gaurav Kumar, Yuan Cao, Ryan Cotterell, Chris Callison-Burch, Daniel Povey, Sanjeev Khudanpur	10
15	Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging 2014 ·arXiv (Cornell University) ·Daniel Povey, (unknown), Sanjeev Khudanpur	79
16	Sequence-discriminative training of deep neural networks breakdown → 2013 ·Edinburgh Research Explorer ·Karel Veselý, Arnab Ghoshal, Lukáš Burget, Daniel Povey	458
17	Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on 2012 ·International Conference on Acoustics, Speech, and Signal Processing ·Korbinian Riedhammer, Tobias Bocklet, Arnab Ghoshal, Daniel Povey	237
18	The IBM 2008 GALE Arabic speech transcription system 2010 ·George Saon, Hagen Soltau, Upendra V. Chaudhari, Stephen M. Chu, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey	22
19	Boosted MMI for model and feature-space discriminative training 2008 ·Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing ·Daniel Povey, Dimitri Kanevsky, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Karthik Visweswariah	250
20	The HTK book version 3.4 2006 ·Cambridge University Engineering Department Publications Database ·(unknown), (unknown), Mark Gales, (unknown), (unknown), JJ Odell, (unknown), Daniel Povey, (unknown), PC Woodland	430

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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