Nanxin Chen

4.8k citations

29 papers · 2.3k indexed · 2 hit papers · h-index 19

Impact in

Signal Processing top 0.2%
- Speech and Audio Processing
- Music and Audio Processing
Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems

Papers in

Signal Processing 22
- Speech and Audio Processing 20
- Music and Audio Processing 15
Artificial Intelligence 27
- Speech Recognition and Synthesis 27
- Topic Modeling 6
- Natural Language Processing Techniques 5

Co-authors: Shinji Watanabe Takaaki Hori Shigeki Karita Tomoki Hayashi Najim Dehak Yanmin Qian Kai Yu Jahn Heymann
Journals: Speech Communication (2 papers)IEEE Signal Processing Letters (1 paper)IEEE Access (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Computer Speech & Language (1 paper)
Partner nations: United States China Japan

In The Last Decade

Nanxin Chen

27 papers receiving 2.2k citations

Hit Papers

align trajectories log scale

A Comparative Study on Transformer vs RNN in Speech Applications 2019 · 439 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 arXiv (Cornell University)
2018 ESPnet: End-to-End Speech Processing Toolkit

Peers

Countries citing papers authored by Nanxin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Nanxin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nanxin Chen, 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 Nanxin Chen Line = papers co-authored together Nanxin Chen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	SLM: Bridge the Thin Gap Between Speech and Text Foundation Models Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung‐Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukáš Žilka, Dian Yu, Golan Pundak, Patti Mattson, Johan Schalkwyk, Yonghui Wu	2023	11
2	Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition Nanxin Chen, Piotr Żelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak	2021	9
3	Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer Nanxin Chen, Piotr Żelasko, Jesús Villalba, Najim Dehak	2021	2
4	Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict Yosuke Higuchi, Shinji Watanabe, Nanxin Chen, Tetsuji Ogawa, Tetsunori Kobayashi	2020	79
5	Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings Erica Cooper, Cheng-I Lai, Yusuke Yasuda, Fuming Fang, Xin Wang, Nanxin Chen, Junichi Yamagishi	2020	98
6	Non-Autoregressive Transformer for Speech Recognition IEEE Signal Processing Letters ·Nanxin Chen, Shinji Watanabe, Jesús Villalba, Piotr Żelasko, Najim Dehak	2020	58
7	Robust Training of Vector Quantized Bottleneck Models Adrian Łańcucki, Jan Chorowski, 敦之鈴田, Ricard Marxer, Nanxin Chen, В.А. Фуралёв, Sameer Khurana, Tanel Alumäe, Antoine Laurent	2020	14
8	State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18 Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, V. Moysiyenko, Fred Richardson, Suwon Shon, François Grondin, Réda Dehak, Leibny Paola Garcia, Daniel Povey, Pedro A. Torres‐Carrasquillo, Sanjeev Khudanpur, Najim Dehak	2019	50
9	ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks Cheng-I Lai, Nanxin Chen, Jesús Villalba, Najim Dehak	2019	102
10	A Comparative Study on Transformer vs RNN in Speech Applications arXiv (Cornell University) ·Shigeki Karita, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, I. Pyvovarova, Ryuichi Yamamoto, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang Hit paper breakdown →	2019	439
11	State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations Computer Speech & Language ·Jesús Villalba, Nanxin Chen, David Snyder, Daniel Garcia-Romero, Alan McCree, Gregory Sell, V. Moysiyenko, Leibny Paola Garcia, Fred Richardson, Réda Dehak, Pedro A. Torres‐Carrasquillo, Najim Dehak	2019	78
12	ESPnet: End-to-End Speech Processing Toolkit Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, 文亚南, Yuya Unno, I. Pyvovarova, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai Hit paper breakdown →	2018	848
13	Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks IEEE Access ·Manuel Rodríguez Martí, Phani Sankar Nidadavolu, Nanxin Chen, Joaquín González-Rodríguez, Najim Dehak	2018	68
14	End-to-end Deep Neural Network Age Estimation Pegah Ghahremani, Phani Sankar Nidadavolu, Nanxin Chen, Jesús Villalba, Daniel Povey, Sanjeev Khudanpur, Najim Dehak	2018	28
15	The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System Fred Richardson, Pedro A. Torres‐Carrasquillo, V. Moysiyenko, Douglas Sturim, Youngjune Gwon, Jesús Villalba, Jan Trmal, Nanxin Chen, Réda Dehak, Najim Dehak	2018	0
16	Deep Feature Engineering for Noise Robust Spoofing Detection IEEE/ACM Transactions on Audio Speech and Language Processing ·Yanmin Qian, Nanxin Chen, Heinrich Dinkel, Zhizheng Wu	2017	28
17	Deep features for automatic spoofing detection Speech Communication ·Yanmin Qian, Nanxin Chen, Kai Yu	2016	56
18	Multi-task learning for text-dependent speaker verification Nanxin Chen, Yanmin Qian, Kai Yu	2015	64
19	Deep feature for text-dependent speaker verification Speech Communication ·Yuan Liu, Yanmin Qian, Nanxin Chen, Tianfan Fu, Ya Zhang, Kai Yu	2015	113
20	Evaluating vad for automatic speech recognition Mita Setyowati, Nanxin Chen, Yanmin Qian, Kai Yu	2014	8

About Nanxin Chen

Nanxin Chen is a scholar working on Signal Processing, Artificial Intelligence, Language and Linguistics, Radiation and Safety, Risk, Reliability and Quality, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (27 papers), Speech and Audio Processing (20 papers), Music and Audio Processing (15 papers), Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Linguistics and Cultural Studies (2 papers), Particle Detector Development and Performance (1 paper) and Safety and Risk Management (1 paper). The work is most often cited by research in Signal Processing (1.6k citations), Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (207 citations), Experimental and Cognitive Psychology (86 citations) and Pharmacy (15 citations). Nanxin Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Najim Dehak, Yanmin Qian, Kai Yu, Jahn Heymann, Tsubasa Ochiai and Matthew Wiesner. Their work appears in journals such as Speech Communication, IEEE Signal Processing Letters, IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Computer Speech & Language.

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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