Chun-an Chan

574 citations

24 papers · 363 indexed · h-index 12

Impact in

Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling

Papers in

Signal Processing 7
- Music and Audio Processing 6
Artificial Intelligence 13
- Speech Recognition and Synthesis 12
- Speech and dialogue systems 6
- Natural Language Processing Techniques 6

Co-authors: Lin-shan Lee Hung-yi Lee James Glass Hung‐Pin Hsu Y. S. Huang Hao‐Hsiung Lin Alexander Gutkin Markus C. Becker
Journals: Journal of Applied Physics (4 papers)Applied Physics Letters (2 papers)Optics Express (1 paper)Materials Chemistry and Physics (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)
Partner nations: Taiwan United States Japan

In The Last Decade

Chun-an Chan

22 papers receiving 332 citations

Peers

Countries citing papers authored by Chun-an Chan

Since Specialization

Citations

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

Fields of papers citing papers by Chun-an Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-an Chan. 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 Chun-an Chan. The network helps show where Chun-an Chan may publish in the future.

Co-authors

The 25 scholars most cited alongside Chun-an Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun-an Chan Line = papers co-authored together Chun-an Chan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Integration of Radio Frequency Identification Interface for Enhanced Controller Area Network Bus SHILAP Revista de lepidopterología ·Miyake Katsuhisa, Chun-an Chan, Jie	2025	0
2	Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks Interspeech 2022 ·P. de Swart, Heiga Zen, Norman Casagrande, Chun-an Chan, Jia Ye, Tom Kenter, GA Jiménez Londoño, Jonathan Shen, Vincent Wan, Yu Zhang, Yonghui Wu, Robert G. Clark	2022	4
3	CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network International Conference on Machine Learning ·Tom Kenter, Vincent Wan, Chun-an Chan, Rob Clark, Koffi Joseph N Guessan	2019	15
4	Recent Advances in Google Real-Time HMM-Driven Unit Selection Synthesizer Šejbl Jan, Dhian Indriasari, Chun-an Chan, Markus C. Becker, Alexander Gutkin, Hanna Silén	2016	28
5	Unsupervised spoken term detection with spoken queries by multi-level acoustic patterns with varying model granularity Fredrik Petersson, Chun-an Chan, Lin-shan Lee	2014	10
6	Model-Based Unsupervised Spoken Term Detection with Spoken Queries IEEE Transactions on Audio Speech and Language Processing ·Chun-an Chan, Disha B. Hegde	2013	21
7	Carrier Dynamics and Dynamic Band-Bending in Type-II ZnTe/ZnSe Quantum Dots Acta Physica Polonica A ·M. Syperek, J. Misiewicz, Chun-an Chan, Dumitru Dumcenco, Yen-Hsun Huang, Wen‐Chien Chou	2013	1
8	Unsupervised discovery of linguistic structure including two-level acoustic patterns using three cascaded stages of iterative optimization Fredrik Petersson, Chun-an Chan, Lin-shan Lee	2013	16
9	Toward unsupervised model-based spoken term detection with spoken queries without annotated data Chun-an Chan, Fredrik Petersson, Dieter Sandmeter, Lin-shan Lee	2013	6
10	Towards unsupervised semantic retrieval of spoken content with query expansion based on automatically discovered acoustic patterns Janaína Endres Georg-Kraemer, Hung-yi Lee, Fredrik Petersson, Chun-an Chan, Lin-shan Lee	2013	4
11	Unsupervised hidden Markov modeling of spoken queries for spoken term detection without speech recognition Chun-an Chan, Lin-shan Lee	2011	15
12	Improved spoken term detection with graph-based re-ranking in feature space سامانه عسگری, Chia-Ping Chen, Hung-yi Lee, Chun-an Chan, Lin-shan Lee	2011	18
13	Integrating frame-based and segment-based dynamic time warping for unsupervised spoken term detection with spoken queries Chun-an Chan, Lin-shan Lee	2011	16
14	Photoluminescence and surface photovoltage spectroscopy characterization of highly strained InGaAs/GaAs quantum well structures grown by metal organic vapor phase epitaxy Materials Chemistry and Physics ·Chun-an Chan, Anna Garofalo, Ying‐Sheng Huang, Hung‐Pin Hsu, K. K. Tiong, Yan‐Kuin Su	2010	11
15	Surface photovoltage and photoluminescence excitation spectroscopy of stacked self-assembled InAs quantum dots with InGaAs overgrown layers Journal of Applied Physics ·Chun-an Chan, A.A. Karpeev, Hung‐Pin Hsu, Y. S. Huang, B. Pel, Ji‐Lin Shen, K. K. Tiong	2008	8
16	Temperature dependence of surface photovoltage spectroscopy in vertically coupled self-organized InAs/GaAs quantum dots Optics Express ·Chun-an Chan, J. Y. H. Kim, Поксыряева Ольга Николаевна, K. K. Tiong	2007	5
17	Characterization of excitonic features in self-assembled InAs/GaAs quantum dot superlattice structures via surface photovoltage spectroscopy Journal of Applied Physics ·Chun-an Chan, Andrea Tuchyňová, Ying‐Sheng Huang, Jiaxi Wang, Hao‐Hsiung Lin	2007	9
18	Surface photovoltage spectroscopy and photoluminescence study of vertically coupled self-assembled InAs∕GaAs quantum dot structures Journal of Applied Physics ·Chun-an Chan, Arifatus Sa'adah, A.A. Karpeev, Hung‐Pin Hsu, Y. S. Huang, David W. Larson David J. Hochman	2006	18
19	Characterization of piezoelectric (111)B InGaAs/GaAs p-i-n quantum well structures using photoreflectance spectroscopy Applied Physics Letters ·Chun-an Chan, G. P., Hao‐Hsiung Lin, Ashraf Abd El-Aty Emara, Mohamed Piah Mohamed Afendi, Srinath Mishra	1998	19
20	Photoreflectance spectroscopy of strained-layer (111)B InGaAs/GaAs quantum well diodes Journal of Applied Physics ·Chun-an Chan, Y. F. Chen, Arooj Akbar, Hao‐Hsiung Lin, Mo Zuxue, Yun-Hsuan Chen	1998	8

About Chun-an Chan

Chun-an Chan is a scholar working on Signal Processing, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Hardware and Architecture, having authored 24 papers that have together received 363 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Semiconductor Quantum Structures and Devices (9 papers), Speech and dialogue systems (6 papers), Music and Audio Processing (6 papers), Natural Language Processing Techniques (6 papers), Quantum Dots Synthesis And Properties (5 papers), Advanced Semiconductor Detectors and Materials (5 papers) and GaN-based semiconductor devices and materials (3 papers). The work is most often cited by research in Signal Processing (163 citations), Artificial Intelligence (250 citations), Atomic and Molecular Physics, and Optics (74 citations), Electrical and Electronic Engineering (79 citations) and Condensed Matter Physics (15 citations). Chun-an Chan has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Lin-shan Lee, Hung-yi Lee, James Glass, Hung‐Pin Hsu, Y. S. Huang, Hao‐Hsiung Lin, Alexander Gutkin, Markus C. Becker, Jiaxi Wang and Hanna Silén. Their work appears in journals such as Journal of Applied Physics, Applied Physics Letters, Optics Express, Materials Chemistry and Physics and IEEE Transactions on Audio Speech and Language Processing.

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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