Hsin-Te Hwang

1.6k total citations
16 papers, 287 citations indexed

About

Hsin-Te Hwang is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hsin-Te Hwang has authored 16 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 14 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hsin-Te Hwang's work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (9 papers). Hsin-Te Hwang is often cited by papers focused on Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (9 papers). Hsin-Te Hwang collaborates with scholars based in Taiwan, Japan and United States. Hsin-Te Hwang's co-authors include Yu Tsao, Hsin‐Min Wang, Yi-Chiao Wu, Chin-Cheng Hsu, Wen-Chin Huang, Yuhuai Peng, Yih‐Ru Wang, Sin‐Horng Chen, Xugang Lu and Syu‐Siang Wang and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Hsin-Te Hwang

16 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hsin-Te Hwang Taiwan	7	262	261	35	17	12	16	287
Chenda Li China	9	313 1.2×	297 1.1×	24 0.7×	33 1.9×	8 0.7×	24	390
Soyeon Choe South Korea	6	263 1.0×	263 1.0×	32 0.9×	12 0.7×	6 0.5×	8	323
Venkata Ramana Rao Gadde United States	9	293 1.1×	259 1.0×	37 1.1×	15 0.9×	11 0.9×	13	344
Kaizhi Qian United States	8	182 0.7×	173 0.7×	31 0.9×	12 0.7×	9 0.8×	16	226
Changhao Shan China	7	254 1.0×	182 0.7×	29 0.8×	6 0.4×	5 0.4×	10	291
Charles Jankowski United States	7	218 0.8×	245 0.9×	37 1.1×	15 0.9×	7 0.6×	11	282
Debadatta Pati India	11	229 0.9×	232 0.9×	29 0.8×	4 0.2×	22 1.8×	39	269
Joel Pinto Switzerland	11	306 1.2×	240 0.9×	23 0.7×	6 0.4×	6 0.5×	24	344

Countries citing papers authored by Hsin-Te Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Hsin-Te Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin-Te Hwang. 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 Hsin-Te Hwang. The network helps show where Hsin-Te Hwang may publish in the future.

Co-authorship network of co-authors of Hsin-Te Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin-Te Hwang. A scholar is included among the top collaborators of Hsin-Te Hwang 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 Hsin-Te Hwang. Hsin-Te Hwang 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:

16 of 16 papers shown

Huang, Wen-Chin, Yi-Chiao Wu, Kazuhiro Kobayashi, et al.. (2019). Generalization of Spectrum Differential based Direct Waveform Modification for Voice Conversion. 57–62. 1 indexed citations

Huang, Wen-Chin, Yi-Chiao Wu, Hsin-Te Hwang, et al.. (2019). Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion. arXiv (Cornell University). 1–5. 11 indexed citations

Peng, Yuhuai, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, & Hsin‐Min Wang. (2018). Exemplar-Based Spectral Detail Compensation for Voice Conversion. 486–490. 1 indexed citations

Huang, Wen-Chin, Hsin-Te Hwang, Yuhuai Peng, Yu Tsao, & Hsin‐Min Wang. (2018). Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders. arXiv (Cornell University). 51–55. 30 indexed citations

Huang, Jen-Wei, et al.. (2018). Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement. 373–377. 6 indexed citations

Wu, Yi-Chiao, Hsin-Te Hwang, Syu‐Siang Wang, et al.. (2017). A locally linear embbeding based postfiltering approach for speech enhancement. 5555–5559. 2 indexed citations

Wu, Yi-Chiao, Hsin-Te Hwang, Syu‐Siang Wang, et al.. (2017). A Post-Filtering Approach Based on Locally Linear Embedding Difference Compensation for Speech Enhancement. 1953–1957. 2 indexed citations

Hsu, Chin-Cheng, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, & Hsin‐Min Wang. (2016). Dictionary update for NMF-based voice conversion using an encoder-decoder network. 22. 1–5. 3 indexed citations

Wu, Yi-Chiao, Hsin-Te Hwang, Chin-Cheng Hsu, Yu Tsao, & Hsin‐Min Wang. (2016). Locally Linear Embedding for Exemplar-Based Spectral Conversion. 1652–1656. 20 indexed citations

10.

Hsu, Chin-Cheng, Hsin-Te Hwang, Yi-Chiao Wu, Yu Tsao, & Hsin‐Min Wang. (2016). Voice conversion from non-parallel corpora using variational auto-encoder. 1–6. 164 indexed citations

11.

Hwang, Hsin-Te, Yu Tsao, Hsin‐Min Wang, Yih‐Ru Wang, & Sin‐Horng Chen. (2015). A probabilistic interpretation for artificial neural network-based voice conversion. 22. 552–558. 7 indexed citations

12.

Wang, Syu‐Siang, Hsin-Te Hwang, Ying-Hui Lai, et al.. (2015). Improving denoising auto-encoder based speech enhancement with the speech parameter generation algorithm. 365–369. 13 indexed citations

13.

Wang, Syu‐Siang, et al.. (2014). Acoustic feature conversion using a polynomial based feature transferring algorithm. 202. 454–458. 2 indexed citations

14.

Hwang, Hsin-Te, Yu Tsao, Hsin‐Min Wang, Yih‐Ru Wang, & Sin‐Horng Chen. (2013). Incorporating global variance in the training phase of GMM-based voice conversion. 1–6. 13 indexed citations

15.

Hwang, Hsin-Te, Yu Tsao, Hsin‐Min Wang, Yih‐Ru Wang, & Sin‐Horng Chen. (2013). Alleviating the over-smoothing problem in GMM-based voice conversion with discriminative training. 3062–3066. 6 indexed citations

16.

Hwang, Hsin-Te, Yu Tsao, Hsin‐Min Wang, Yih‐Ru Wang, & Sin‐Horng Chen. (2012). Exploring mutual information for GMM-based spectral conversion. 50–54. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chenda Li Breakdown of academic impact, for papers by Soyeon Choe Breakdown of academic impact, for papers by Venkata Ramana Rao Gadde Breakdown of academic impact, for papers by Kaizhi Qian Breakdown of academic impact, for papers by Changhao Shan Breakdown of academic impact, for papers by Charles Jankowski Breakdown of academic impact, for papers by Debadatta Pati Breakdown of academic impact, for papers by Joel Pinto