Daben Liu

581 total citations
19 papers, 390 citations indexed

About

Daben Liu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daben Liu has authored 19 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daben Liu's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Daben Liu is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Daben Liu collaborates with scholars based in United States. Daben Liu's co-authors include Francis Kubala, Richard Schwartz, Long Nguyen, J. Makhoul, John Makhoul, Amit Srivastava, John C. Henderson, Gang Ji, Xiaodan Zhuang and Jeffrey A. Bilmes and has published in prestigious journals such as Proceedings of the IEEE, Communications of the ACM and The Journal of the Acoustical Society of America.

In The Last Decade

Daben Liu

15 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daben Liu United States 8 323 239 89 24 15 19 390
Kari Laurila Finland 7 281 0.9× 281 1.2× 50 0.6× 18 0.8× 14 0.9× 18 366
Ivica Rogina United States 12 258 0.8× 108 0.5× 68 0.8× 15 0.6× 7 0.5× 19 317
Kofi Boakye United States 8 204 0.6× 148 0.6× 48 0.5× 6 0.3× 9 0.6× 16 259
Matt Sharifi United States 4 179 0.6× 154 0.6× 83 0.9× 12 0.5× 9 0.6× 4 298
Zalán Borsos Switzerland 6 220 0.7× 145 0.6× 71 0.8× 12 0.5× 11 0.7× 10 317
John Butzberger United States 12 447 1.4× 212 0.9× 49 0.6× 43 1.8× 23 1.5× 16 490
Preethi Jyothi India 12 415 1.3× 198 0.8× 65 0.7× 58 2.4× 13 0.9× 78 484
Cheung-Chi Leung Singapore 16 684 2.1× 537 2.2× 63 0.7× 36 1.5× 19 1.3× 57 748
Delphine Charlet France 11 280 0.9× 225 0.9× 60 0.7× 17 0.7× 23 1.5× 44 339
Alexandre Allauzen France 13 475 1.5× 73 0.3× 58 0.7× 46 1.9× 13 0.9× 52 536

Countries citing papers authored by Daben Liu

Since Specialization
Citations

This map shows the geographic impact of Daben Liu'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 Daben Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daben Liu more than expected).

Fields of papers citing papers by Daben Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daben Liu. 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 Daben Liu. The network helps show where Daben Liu may publish in the future.

Co-authorship network of co-authors of Daben Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Daben Liu. A scholar is included among the top collaborators of Daben Liu 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 Daben Liu. Daben Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
Li, Xinwei, Yuanyuan Zhang, Xiaodan Zhuang, & Daben Liu. (2021). Frame-Level Specaugment for Deep Convolutional Neural Networks in Hybrid ASR Systems. 209–214. 2 indexed citations
3.
Huang, Zhen, et al.. (2020). SNDCNN: Self-Normalizing Deep CNNs with Scaled Exponential Linear Units for Speech Recognition. 6854–6858. 27 indexed citations
4.
Huang, Zhen, Xiaodan Zhuang, Daben Liu, et al.. (2019). Exploring Retraining-free Speech Recognition for Intra-sentential Code-switching. arXiv (Cornell University). 1997. 6066–6070. 4 indexed citations
5.
Xiao, Xiaoqiang, Hong Chen, Suma Desu, et al.. (2018). Geographic Language Models for Automatic Speech Recognition. 18. 6124–6128. 2 indexed citations
6.
Zhuang, Xiaodan, Arnab Ghoshal, Antti-Veikko Rosti, Matthias Paulik, & Daben Liu. (2017). Improving DNN Bluetooth Narrowband Acoustic Models by Cross-Bandwidth and Cross-Lingual Initialization. 2148–2152. 4 indexed citations
7.
Liu, Daben. (2009). Systems and methods for providing online fast speaker adaptation in speech recognition. The Journal of the Acoustical Society of America. 125(1). 585–585. 1 indexed citations
8.
Liu, Daben, et al.. (2005). Online speaker adaptation and tracking for real-time speech recognition. 281–284. 15 indexed citations
9.
Kubala, Francis, et al.. (2005). Spoken documents: creating searchable archives from continuous audio. vol.1. 9–9. 6 indexed citations
11.
Kirchhoff, Katrin, Jeffrey A. Bilmes, Nicolae Duta, et al.. (2003). Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. I–344. 76 indexed citations
12.
Liu, Daben, et al.. (2002). Real-time rich-content transcription of Chinese broadcast news. 1981–1984. 1 indexed citations
13.
Makhoul, J., et al.. (2000). Speech and language technologies for audio indexing and retrieval. Proceedings of the IEEE. 88(8). 1338–1353. 105 indexed citations
14.
Kubala, Francis, et al.. (2000). Integrated technologies for indexing spoken language. Communications of the ACM. 43(2). 48–56. 41 indexed citations
15.
Matsoukas, Spyros, et al.. (1999). The 1998 BBN BYBLOS Primary System applied to English and Spanish Broadcast News Transcription. 2 indexed citations
16.
Nguyen, Long, et al.. (1999). Further advances in transcription of broadcast news. 667–670. 7 indexed citations
17.
Liu, Daben & Francis Kubala. (1999). Fast speaker change detection for broadcast news transcription and indexing. 1031–1034. 65 indexed citations
18.
Liu, Daben & Francis Kubala. (1999). Fast speaker change detection for broadcast news transcription and indexing. 1031–1034. 9 indexed citations
19.
Kubala, Francis, et al.. (1999). Rough'n'Ready. ACM Computing Surveys. 31(2es). 7–7. 19 indexed citations

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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