Development of Early-Warning Model for Intensive Pig Breeding. - Nanxin Chen; Qingling Duan; Jianqin Wang; Ruizhi Sun (CCTA, 2014)

Robust deep feature for spoofing detection - the SJTU system for ASVspoof 2015 challenge. - Nanxin Chen; Yanmin Qian; Heinrich Dinkel; Bo Chen; Kai Yu 004 (INTERSPEECH, 2015)

Multi-task learning for text-dependent speaker verification. - Nanxin Chen; Yanmin Qian; Kai Yu 004 (INTERSPEECH, 2015)

Deep feature for text-dependent speaker verification. - Yuan Liu; Yanmin Qian; Nanxin Chen; Tianfan Fu; Ya Zhang 002; Kai Yu 004 (Speech Commun., 2015)

Overview of BTAS 2016 speaker anti-spoofing competition. - Pavel Korshunov; Sébastien Marcel; Hannah Muckenhirn; André R. Gonçalves 001; A. G. Souza Mello; Ricardo Paranhos Velloso Violato; Flávio Olmos Simões; Mário Uliani Neto; Marcus de Assis Angeloni; José Augusto Stuchi; Heinrich Dinkel; Nanxin Chen; et al. (BTAS, 2016)

Deep features for automatic spoofing detection. - Yanmin Qian; Nanxin Chen; Kai Yu 004 (Speech Commun., 2016)

End-to-end spoofing detection with raw waveform CLDNNS. - Heinrich Dinkel; Nanxin Chen; Yanmin Qian; Kai Yu 004 (ICASSP, 2017)

Deep Feature Engineering for Noise Robust Spoofing Detection. - Yanmin Qian; Nanxin Chen; Heinrich Dinkel; Zhizheng Wu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Measuring Uncertainty in Deep Regression Models: The Case of Age Estimation from Speech. - Nanxin Chen; Jesús Villalba 001; Yishay Carmiel; Najim Dehak (ICASSP, 2018)

An Investigation of Non-linear i-vectors for Speaker Verification. - Nanxin Chen; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2018)

End-to-end Deep Neural Network Age Estimation. - Pegah Ghahremani; Phani Sankar Nidadavolu; Nanxin Chen; Jesús Villalba 001; Daniel Povey; Sanjeev Khudanpur; Najim Dehak (INTERSPEECH, 2018)

ESPnet: End-to-End Speech Processing Toolkit. - Shinji Watanabe 001; Takaaki Hori; Shigeki Karita; Tomoki Hayashi; Jiro Nishitoba; Yuya Unno; Nelson Enrique Yalta Soplin; Jahn Heymann; Matthew Wiesner; Nanxin Chen; Adithya Renduchintala; Tsubasa Ochiai (INTERSPEECH, 2018)

The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System. - Fred Richardson; Pedro A. Torres-Carrasquillo; Jonas Borgstrom; Douglas E. Sturim; Youngjune Gwon; Jesús Villalba 001; Jan Trmal; Nanxin Chen; Réda Dehak; Najim Dehak (Odyssey, 2018)

Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks. - Rubén Zazo-Candil; Phani Sankar Nidadavolu; Nanxin Chen; Joaquin Gonzalez-Rodriguez; Najim Dehak (IEEE Access, 2018)

A Comparative Study on Transformer vs RNN in Speech Applications. - Shigeki Karita; Xiaofei Wang 007; Shinji Watanabe 001; Takenori Yoshimura; Wangyou Zhang; Nanxin Chen; Tomoki Hayashi; Takaaki Hori; Hirofumi Inaguma; Ziyan Jiang; Masao Someki; Nelson Enrique Yalta Soplin; et al. (ASRU, 2019)

Tied Mixture of Factor Analyzers Layer to Combine Frame Level Representations in Neural Speaker Embeddings. - Nanxin Chen; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2019)

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks. - Cheng-I Lai; Nanxin Chen; Jesús Villalba 001; Najim Dehak (INTERSPEECH, 2019)

The JHU Speaker Recognition System for the VOiCES 2019 Challenge. - David Snyder; Jesús Villalba 001; Nanxin Chen; Daniel Povey; Gregory Sell; Najim Dehak; Sanjeev Khudanpur (INTERSPEECH, 2019)

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. - Jesús Villalba 001; Nanxin Chen; David Snyder; Daniel Garcia-Romero; Alan McCree; Gregory Sell; Jonas Borgstrom; Fred Richardson; Suwon Shon; François Grondin; Réda Dehak; Leibny Paola García-Perera; et al. (INTERSPEECH, 2019)

Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition. - Nanxin Chen; Shinji Watanabe 001; Jesús Villalba 001; Najim Dehak (CoRR, 2019)

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 037; Nanxin Chen; Junichi Yamagishi (ICASSP, 2020)

Feature Enhancement with Deep Feature Losses for Speaker Verification. - Saurabh Kataria 001; Phani Sankar Nidadavolu; Jesús Villalba 001; Nanxin Chen; L. Paola García-Perera; Najim Dehak (ICASSP, 2020)

X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition. - Raghavendra Pappagari; Tianzi Wang; Jesús Villalba 001; Nanxin Chen; Najim Dehak (ICASSP, 2020)

Improving Language Identification for Multilingual Speakers. - Andrew Titus; Jan Silovský; Nanxin Chen; Roger Hsiao; Mary Young; Arnab Ghoshal (ICASSP, 2020)

Robust Training of Vector Quantized Bottleneck Models. - Adrian Lancucki; Jan Chorowski; Guillaume Sanchez; Ricard Marxer; Nanxin Chen; Hans J. G. A. Dolfing; Sameer Khurana; Tanel Alumäe; Antoine Laurent (IJCNN, 2020)

Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. - Yosuke Higuchi; Shinji Watanabe 001; Nanxin Chen; Tetsuji Ogawa; Tetsunori Kobayashi (INTERSPEECH, 2020)

Advances in Speaker Recognition for Telephone and Audio-Visual Data: the JHU-MIT Submission for NIST SRE19. - Jesús Antonio Villalba López; Daniel Garcia-Romero; Nanxin Chen; Gregory Sell; Jonas Borgstrom; Alan McCree; Leibny Paola García-Perera; Saurabh Kataria 001; Phani Sankar Nidadavolu; Pedro Torres-Carrasquiilo; Najim Dehak (Odyssey, 2020)

State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations. - Jesús Villalba 001; Nanxin Chen; David Snyder; Daniel Garcia-Romero; Alan McCree; Gregory Sell; Jonas Borgstrom; Leibny Paola García-Perera; Fred Richardson; Réda Dehak; Pedro A. Torres-Carrasquillo; Najim Dehak (Comput. Speech Lang., 2020)

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation. - Yosuke Higuchi; Nanxin Chen; Yuya Fujita; Hirofumi Inaguma; Tatsuya Komatsu; Jaesong Lee; Jumon Nozaki; Tianzi Wang; Shinji Watanabe 001 (ASRU, 2021)

Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer. - Nanxin Chen; Piotr Zelasko; Jesús Villalba 001; Najim Dehak (ICASSP, 2021)

WaveGrad: Estimating Gradients for Waveform Generation. - Nanxin Chen; Yu Zhang 033; Heiga Zen; Ron J. Weiss; Mohammad Norouzi 002; William Chan (ICLR, 2021)

Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. - Nanxin Chen; Piotr Zelasko; Laureano Moro-Velázquez; Jesús Villalba 001; Najim Dehak (Interspeech, 2021)

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. - Nanxin Chen; Yu Zhang 033; Heiga Zen; Ron J. Weiss; Mohammad Norouzi 002; Najim Dehak; William Chan (Interspeech, 2021)

Non-Autoregressive Transformer for Speech Recognition. - Nanxin Chen; Shinji Watanabe 001; Jesús Villalba 001; Piotr Zelasko; Najim Dehak (IEEE Signal Process. Lett., 2021)

SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. - Yuma Koizumi; Heiga Zen; Kohei Yatabe; Nanxin Chen; Michiel Bacchiani (INTERSPEECH, 2022)

Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR. - Zhehuai Chen; Ankur Bapna; Andrew Rosenberg; Yu Zhang 033; Bhuvana Ramabhadran; Pedro J. Moreno 001; Nanxin Chen (SLT, 2022)

Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation. - Nobuyuki Morioka; Heiga Zen; Nanxin Chen; Yu Zhang 033; Yifan Ding (CoRR, 2022)

E3 TTS: Easy End-to-End Diffusion-Based Text To Speech. - Yuan Gao; Nobuyuki Morioka; Yu Zhang 033; Nanxin Chen (ASRU, 2023)

SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; Dian Yu; et al. (ASRU, 2023)

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Rohit Prabhavalkar; Tara N. Sainath; Trevor Strohman (ICASSP, 2023)

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. - Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Tara N. Sainath; Sabato Marco Siniscalchi; Chin-Hui Lee 001 (ICASSP, 2023)

How to Estimate Model Transferability of Pre-Trained Speech Models? - Zih-Ching Chen; Chao-Han Huck Yang; Bo Li 028; Yu Zhang 033; Nanxin Chen; Shuo-Yiin Chang; Rohit Prabhavalkar; Hung-yi Lee; Tara N. Sainath (INTERSPEECH, 2023)

Noise2Music: Text-conditioned Music Generation with Diffusion Models. - Qingqing Huang; Daniel S. Park; Tao Wang; Timo I. Denk; Andy Ly; Nanxin Chen; Zhengdong Zhang; Zhishuai Zhang; Jiahui Yu; Christian Havnø Frank; Jesse H. Engel; Quoc V. Le; et al. (CoRR, 2023)

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. - Yu Zhang 033; Wei Han 002; James Qin; Yongqiang Wang; Ankur Bapna; Zhehuai Chen; Nanxin Chen; Bo Li 028; Vera Axelrod; Gary Wang; Zhong Meng; Ke Hu; et al. (CoRR, 2023)

Efficient Adapters for Giant Speech Models. - Nanxin Chen; Izhak Shafran; Yu Zhang 033; Chung-Cheng Chiu; Hagen Soltau; James Qin; Yonghui Wu (CoRR, 2023)

SLM: Bridge the thin gap between speech and text foundation models. - Mingqiu Wang; Wei Han 002; Izhak Shafran; Zelin Wu; Chung-Cheng Chiu; Yuan Cao 007; Yongqiang Wang; Nanxin Chen; Yu Zhang 033; Hagen Soltau; Paul K. Rubenstein; Lukas Zilka; et al. (CoRR, 2023)

Text Injection for Neural Contextual Biasing. - Zhong Meng; Zelin Wu; Rohit Prabhavalkar; Cal Peyser; Weiran Wang; Nanxin Chen; Tara N. Sainath; Bhuvana Ramabhadran (INTERSPEECH, 2024)

Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition. - Xuan Kan; Yonghui Xiao; Tien-Ju Yang; Nanxin Chen; Rajiv Mathews (CoRR, 2024)