Hank Liao

1.5k total citations
18 papers, 828 citations indexed

About

Hank Liao is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Hank Liao has authored 18 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Signal Processing and 1 paper in Cognitive Neuroscience. Recurrent topics in Hank Liao's work include Speech Recognition and Synthesis (14 papers), Music and Audio Processing (12 papers) and Speech and Audio Processing (10 papers). Hank Liao is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Music and Audio Processing (12 papers) and Speech and Audio Processing (10 papers). Hank Liao collaborates with scholars based in United States, Singapore and Germany. Hank Liao's co-authors include Hagen Soltau, Haşim Sak, Andrew Senior, Erik McDermott, Olivier Siohan, Michiel Bacchiani, Takaki Makino, Yannis Assael, Brendan Shillingford and Tara N. Sainath and has published in prestigious journals such as National University of Singapore.

In The Last Decade

Hank Liao

18 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hank Liao United States	12	687	570	83	37	19	18	828
Suyoun Kim United States	12	1.1k 1.7×	804 1.4×	103 1.2×	48 1.3×	16 0.8×	24	1.3k
Yossi Adi Israel	15	661 1.0×	395 0.7×	121 1.5×	65 1.8×	36 1.9×	56	838
Olivier Siohan United States	20	1.1k 1.6×	962 1.7×	126 1.5×	56 1.5×	26 1.4×	74	1.3k
John Dines Switzerland	18	755 1.1×	517 0.9×	66 0.8×	87 2.4×	20 1.1×	58	903
Anjuli Kannan United States	11	778 1.1×	419 0.7×	64 0.8×	29 0.8×	16 0.8×	13	913
Torbjørn Svendsen Norway	14	602 0.9×	470 0.8×	73 0.9×	106 2.9×	13 0.7×	73	676
João P. Neto Portugal	16	600 0.9×	385 0.7×	121 1.5×	47 1.3×	11 0.6×	58	751
Keiichiro Oura Japan	15	920 1.3×	666 1.2×	101 1.2×	107 2.9×	18 0.9×	69	1.1k
Javier Gónzalez-Domínguez Spain	11	1.1k 1.6×	932 1.6×	95 1.1×	34 0.9×	9 0.5×	21	1.2k
Kushal Lakhotia Israel	10	830 1.2×	456 0.8×	94 1.1×	93 2.5×	13 0.7×	11	950

Countries citing papers authored by Hank Liao

Since Specialization

Citations

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

Fields of papers citing papers by Hank Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hank Liao

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Zhao, Guanlong, Yongqiang Wang, Jason Pelecanos, et al.. (2024). USM-SCD: Multilingual Speaker Change Detection Based on Large Pretrained Foundation Models. 33. 11801–11805. 2 indexed citations

2.

Wang, Quan, et al.. (2024). DiarizationLM: Speaker Diarization Post-Processing with Large Language Models. 3754–3758. 3 indexed citations

3.

Chang, Oscar, et al.. (2024). Conformer is All You Need for Visual Speech Recognition. 10136–10140. 15 indexed citations

4.

Makino, Takaki, et al.. (2020). End-to-End Multi-Person Audio/Visual Automatic Speech Recognition. 6994–6998. 14 indexed citations

5.

Chiu, Chung‐Cheng, Wei Han, Ruoming Pang, et al.. (2019). A Comparison of End-to-End Models for Long-Form Speech Recognition. 889–896. 50 indexed citations

6.

Makino, Takaki, et al.. (2019). Recurrent Neural Network Transducer for Audio-Visual Speech Recognition. 905–912. 91 indexed citations

7.

Irie, Kazuki, et al.. (2018). RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling. 6079–6083. 16 indexed citations

8.

Soltau, Hagen, Hank Liao, & Haşim Sak. (2017). Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition. 3707–3711. 191 indexed citations

9.

Soltau, Hagen, Hank Liao, & Haşim Sak. (2017). Reducing the computational complexity for whole word models. 8 indexed citations

10.

Kuznetsov, Vitaly, Hank Liao, Mehryar Mohri, Michael Riley, & Brian Roark. (2016). Learning N-Gram Language Models from Uncertain Data. 2323–2327. 11 indexed citations

11.

Liao, Hank, Golan Pundak, Olivier Siohan, et al.. (2015). Large vocabulary automatic speech recognition for children. 1611–1615. 76 indexed citations

12.

Xu, Yanbo, et al.. (2015). Exemplar-based large vocabulary speech recognition using k-nearest neighbors. 5167–5171. 3 indexed citations

13.

Senior, Andrew, Georg Heigold, Michiel Bacchiani, & Hank Liao. (2014). GMM-free DNN acoustic model training. 5602–5606. 17 indexed citations

14.

Liao, Hank, Erik McDermott, & Andrew Senior. (2013). Large scale deep neural network acoustic modeling with semi-supervised training data for YouTube video transcription. 368–373. 122 indexed citations

15.

Liao, Hank. (2013). Speaker adaptation of context dependent deep neural networks. 7947–7951. 154 indexed citations

16.

Sim, Khe Chai, Shengdong Zhao, Kai Yu, & Hank Liao. (2012). ICMI'12 grand challenge. National University of Singapore. 363–370. 3 indexed citations

17.

Liao, Hank, Chris Alberti, Michiel Bacchiani, & Olivier Siohan. (2010). Decision tree state clustering with word and syllable features. 2958–2961. 5 indexed citations

18.

Bacchiani, Michiel, Ciprian Chelba, Hank Liao, et al.. (2009). An audio indexing system for election video material. 47 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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