Nanxin Chen - RankMe

68 papers A* 1A 15B 1C 4Misc 9Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition. CoRR Xuan Kan, Yonghui Xiao, Tien-Ju Yang, Nanxin Chen, Rajiv Mathews
2024	A	`conf`	Text Injection for Neural Contextual Biasing. INTERSPEECH Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
2024	J	`jnl`	Text Injection for Neural Contextual Biasing. CoRR Zhong Meng, Zelin Wu, Rohit Prabhavalkar, Cal Peyser, Weiran Wang, Nanxin Chen, Tara N. Sainath, Bhuvana Ramabhadran
2023	Misc	`conf`	A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. ICASSP Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee
2023	C	`conf`	E3 TTS: Easy End-to-End Diffusion-Based Text To Speech. ASRU Yuan Gao, Nobuyuki Morioka, Yu Zhang, Nanxin Chen
2023	J	`jnl`	E3 TTS: Easy End-to-End Diffusion-based Text to Speech. CoRR Yuan Gao, Nobuyuki Morioka, Yu Zhang, Nanxin Chen
2023	J	`jnl`	Efficient Adapters for Giant Speech Models. CoRR Nanxin Chen, Izhak Shafran, Yu Zhang, Chung-Cheng Chiu, Hagen Soltau, James Qin, Yonghui Wu
2023	Misc	`conf`	From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. ICASSP Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
2023	J	`jnl`	From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. CoRR Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Rohit Prabhavalkar, Tara N. Sainath, Trevor Strohman
2023	J	`jnl`	Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu
2023	A	`conf`	How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2023	J	`jnl`	How to Estimate Model Transferability of Pre-Trained Speech Models? CoRR Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath
2023	J	`jnl`	Noise2Music: Text-conditioned Music Generation with Diffusion Models. CoRR 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, William Chan, Wei Han
2023	C	`conf`	SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. ASRU Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu
2023	J	`jnl`	SLM: Bridge the thin gap between speech and text foundation models. CoRR Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu
2022	J	`jnl`	A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition. CoRR Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Tara N. Sainath, Sabato Marco Siniscalchi, Chin-Hui Lee
2022	—	`conf`	Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR. SLT Zhehuai Chen, Ankur Bapna, Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Pedro J. Moreno, Nanxin Chen
2022	J	`jnl`	Maestro-U: Leveraging joint speech-text representation learning for zero supervised speech ASR. CoRR Zhehuai Chen, Ankur Bapna, Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Pedro J. Moreno, Nanxin Chen
2022	J	`jnl`	Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation. CoRR Nobuyuki Morioka, Heiga Zen, Nanxin Chen, Yu Zhang, Yifan Ding
2022	A	`conf`	SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. INTERSPEECH Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani
2022	J	`jnl`	SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. CoRR Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani
2021	C	`conf`	A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation. ASRU Yosuke Higuchi, Nanxin Chen, Yuya Fujita, Hirofumi Inaguma, Tatsuya Komatsu, Jaesong Lee, Jumon Nozaki, Tianzi Wang, Shinji Watanabe
2021	J	`jnl`	A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation. CoRR Yosuke Higuchi, Nanxin Chen, Yuya Fujita, Hirofumi Inaguma, Tatsuya Komatsu, Jaesong Lee, Jumon Nozaki, Tianzi Wang, Shinji Watanabe
2021	A	`conf`	Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition. Interspeech Nanxin Chen, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak
2021	Misc	`conf`	Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer. ICASSP Nanxin Chen, Piotr Zelasko, Jesús Villalba, Najim Dehak
2021	J	`jnl`	Non-Autoregressive Transformer for Speech Recognition. IEEE Signal Process. Lett. Nanxin Chen, Shinji Watanabe, Jesús Villalba, Piotr Zelasko, Najim Dehak
2021	A	`conf`	WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. Interspeech Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
2021	J	`jnl`	WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. CoRR Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
2021	A*	`conf`	WaveGrad: Estimating Gradients for Waveform Generation. ICLR Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
2020	—	`conf`	Advances in Speaker Recognition for Telephone and Audio-Visual Data: the JHU-MIT Submission for NIST SRE19. Odyssey Jesús Antonio Villalba López, Daniel Garcia-Romero, Nanxin Chen, Gregory Sell, Jonas Borgstrom, Alan McCree, Leibny Paola García-Perera, Saurabh Kataria, Phani Sankar Nidadavolu, Pedro Torres-Carrasquiilo, Najim Dehak
2020	J	`jnl`	End-to-end spoofing detection with raw waveform CLDNNs. CoRR Heinrich Dinkel, Nanxin Chen, Yanmin Qian, Kai Yu
2020	Misc	`conf`	Feature Enhancement with Deep Feature Losses for Speaker Verification. ICASSP Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Nanxin Chen, L. Paola García-Perera, Najim Dehak
2020	J	`jnl`	Focus on the present: a regularization method for the ASR source-target attention layer. CoRR Nanxin Chen, Piotr Zelasko, Jesús Villalba, Najim Dehak
2020	Misc	`conf`	Improving Language Identification for Multilingual Speakers. ICASSP Andrew Titus, Jan Silovský, Nanxin Chen, Roger Hsiao, Mary Young, Arnab Ghoshal
2020	J	`jnl`	Improving Language Identification for Multilingual Speakers. CoRR Andrew Titus, Jan Silovský, Nanxin Chen, Roger Hsiao, Mary Young, Arnab Ghoshal
2020	A	`conf`	Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. INTERSPEECH Yosuke Higuchi, Shinji Watanabe, Nanxin Chen, Tetsuji Ogawa, Tetsunori Kobayashi
2020	J	`jnl`	Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict. CoRR Yosuke Higuchi, Shinji Watanabe, Nanxin Chen, Tetsuji Ogawa, Tetsunori Kobayashi
2020	B	`conf`	Robust Training of Vector Quantized Bottleneck Models. IJCNN Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent
2020	J	`jnl`	Robust Training of Vector Quantized Bottleneck Models. CoRR Adrian Lancucki, Jan Chorowski, Guillaume Sanchez, Ricard Marxer, Nanxin Chen, Hans J. G. A. Dolfing, Sameer Khurana, Tanel Alumäe, Antoine Laurent
2020	J	`jnl`	State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations. Comput. Speech Lang. Jesús Villalba, 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
2020	J	`jnl`	WaveGrad: Estimating Gradients for Waveform Generation. CoRR Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
2020	Misc	`conf`	X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition. ICASSP Raghavendra Pappagari, Tianzi Wang, Jesús Villalba, Nanxin Chen, Najim Dehak
2020	Misc	`conf`	Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings. ICASSP Erica Cooper, Cheng-I Lai, Yusuke Yasuda, Fuming Fang, Xin Wang, Nanxin Chen, Junichi Yamagishi
2020	J	`jnl`	x-vectors meet emotions: A study on dependencies between emotion and speaker recognition. CoRR Raghavendra Pappagari, Tianzi Wang, Jesús Villalba, Nanxin Chen, Najim Dehak
2019	C	`conf`	A Comparative Study on Transformer vs RNN in Speech Applications. ASRU Shigeki Karita, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, Nelson Enrique Yalta Soplin, Ryuichi Yamamoto
2019	J	`jnl`	A Comparative Study on Transformer vs RNN in Speech Applications. CoRR Shigeki Karita, Nanxin Chen, Tomoki Hayashi, Takaaki Hori, Hirofumi Inaguma, Ziyan Jiang, Masao Someki, Nelson Enrique Yalta Soplin, Ryuichi Yamamoto, Xiaofei Wang, Shinji Watanabe, Takenori Yoshimura, Wangyou Zhang
2019	A	`conf`	ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks. INTERSPEECH Cheng-I Lai, Nanxin Chen, Jesús Villalba, Najim Dehak
2019	J	`jnl`	ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks. CoRR Cheng-I Lai, Nanxin Chen, Jesús Villalba, Najim Dehak
2019	J	`jnl`	Feature Enhancement with Deep Feature Losses for Speaker Verification. CoRR Saurabh Kataria, Phani Sankar Nidadavolu, Jesús Villalba, Nanxin Chen, Paola García, Najim Dehak
2019	J	`jnl`	Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition. CoRR Nanxin Chen, Shinji Watanabe, Jesús Villalba, Najim Dehak
2019	A	`conf`	State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. INTERSPEECH Jesús Villalba, 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, Daniel Povey, Pedro A. Torres-Carrasquillo, Sanjeev Khudanpur, Najim Dehak
2019	A	`conf`	The JHU Speaker Recognition System for the VOiCES 2019 Challenge. INTERSPEECH David Snyder, Jesús Villalba, Nanxin Chen, Daniel Povey, Gregory Sell, Najim Dehak, Sanjeev Khudanpur
2019	A	`conf`	Tied Mixture of Factor Analyzers Layer to Combine Frame Level Representations in Neural Speaker Embeddings. INTERSPEECH Nanxin Chen, Jesús Villalba, Najim Dehak
2018	J	`jnl`	Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks. IEEE Access Rubén Zazo-Candil, Phani Sankar Nidadavolu, Nanxin Chen, Joaquin Gonzalez-Rodriguez, Najim Dehak
2018	A	`conf`	An Investigation of Non-linear i-vectors for Speaker Verification. INTERSPEECH Nanxin Chen, Jesús Villalba, Najim Dehak
2018	A	`conf`	ESPnet: End-to-End Speech Processing Toolkit. INTERSPEECH Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai
2018	J	`jnl`	ESPnet: End-to-End Speech Processing Toolkit. CoRR Shinji Watanabe, Takaaki Hori, Shigeki Karita, Tomoki Hayashi, Jiro Nishitoba, Yuya Unno, Nelson Enrique Yalta Soplin, Jahn Heymann, Matthew Wiesner, Nanxin Chen, Adithya Renduchintala, Tsubasa Ochiai
2018	A	`conf`	End-to-end Deep Neural Network Age Estimation. INTERSPEECH Pegah Ghahremani, Phani Sankar Nidadavolu, Nanxin Chen, Jesús Villalba, Daniel Povey, Sanjeev Khudanpur, Najim Dehak
2018	Misc	`conf`	Measuring Uncertainty in Deep Regression Models: The Case of Age Estimation from Speech. ICASSP Nanxin Chen, Jesús Villalba, Yishay Carmiel, Najim Dehak
2018	—	`conf`	The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System. Odyssey Fred Richardson, Pedro A. Torres-Carrasquillo, Jonas Borgstrom, Douglas E. Sturim, Youngjune Gwon, Jesús Villalba, Jan Trmal, Nanxin Chen, Réda Dehak, Najim Dehak
2017	J	`jnl`	Deep Feature Engineering for Noise Robust Spoofing Detection. IEEE ACM Trans. Audio Speech Lang. Process. Yanmin Qian, Nanxin Chen, Heinrich Dinkel, Zhizheng Wu
2017	Misc	`conf`	End-to-end spoofing detection with raw waveform CLDNNS. ICASSP Heinrich Dinkel, Nanxin Chen, Yanmin Qian, Kai Yu
2016	J	`jnl`	Deep features for automatic spoofing detection. Speech Commun. Yanmin Qian, Nanxin Chen, Kai Yu
2016	—	`conf`	Overview of BTAS 2016 speaker anti-spoofing competition. BTAS Pavel Korshunov, Sébastien Marcel, Hannah Muckenhirn, André R. Gonçalves, 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, Yanmin Qian, Dipjyoti Paul, Goutam Saha, Md. Sahidullah
2015	J	`jnl`	Deep feature for text-dependent speaker verification. Speech Commun. Yuan Liu, Yanmin Qian, Nanxin Chen, Tianfan Fu, Ya Zhang, Kai Yu
2015	A	`conf`	Multi-task learning for text-dependent speaker verification. INTERSPEECH Nanxin Chen, Yanmin Qian, Kai Yu
2015	A	`conf`	Robust deep feature for spoofing detection - the SJTU system for ASVspoof 2015 challenge. INTERSPEECH Nanxin Chen, Yanmin Qian, Heinrich Dinkel, Bo Chen, Kai Yu
2014	—	`conf`	Development of Early-Warning Model for Intensive Pig Breeding. CCTA Nanxin Chen, Qingling Duan, JianQin Wang, Ruizhi Sun