Nanxin Chen

发表

Multi-task learning for text-dependent speaker verification

Kai Yu, Yanmin Qian, Nanxin Chen, 2015, INTERSPEECH.

State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18

Sanjeev Khudanpur, Alan McCree, Daniel Garcia-Romero, 2019, INTERSPEECH.

Feature Enhancement with Deep Feature Losses for Speaker Verification

Nanxin Chen, Jes'us Villalba, Najim Dehak, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep features for automatic spoofing detection

Kai Yu, Yanmin Qian, Nanxin Chen, 2016, Speech Communication.

Non-Autoregressive Transformer for Speech Recognition

Piotr Żelasko, Shinji Watanabe, Najim Dehak, 2021, IEEE Signal Processing Letters.

Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation

H. Zen, Yu Zhang, Nanxin Chen, 2022, ArXiv.

A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition

Tara N. Sainath, S. M. Siniscalchi, Bo Li, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Age Estimation in Short Speech Utterances Based on LSTM Recurrent Neural Networks

Najim Dehak, Nanxin Chen, Joaquin Gonzalez-Rodriguez, 2018, IEEE Access.

ESPnet: End-to-End Speech Processing Toolkit pdf

Shinji Watanabe, Takaaki Hori, Tsubasa Ochiai, 2018, INTERSPEECH.

End-to-end Deep Neural Network Age Estimation

Sanjeev Khudanpur, Daniel Povey, Nanxin Chen, 2018, INTERSPEECH.

Measuring Uncertainty in Deep Regression Models: The Case of Age Estimation from Speech

Nanxin Chen, Najim Dehak, Jesús Villalba, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Zero-Shot Multi-Speaker Text-To-Speech with State-Of-The-Art Neural Speaker Embeddings

J. Yamagishi, Xin Eric Wang, Nanxin Chen, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Comparative Study on Transformer vs RNN in Speech Applications

Xiaofei Wang, Shinji Watanabe, Takaaki Hori, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

WaveGrad: Estimating Gradients for Waveform Generation pdf

Heiga Zen, Mohammad Norouzi, Ron J. Weiss, 2020, ICLR.

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Tara N. Sainath, Yonghui Wu, H. Soltau, 2023, ArXiv.

Noise2Music: Text-conditioned Music Generation with Diffusion Models

Quoc V. Le, Timo I. Denk, Jesse Engel, 2023, ArXiv.

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis pdf

Heiga Zen, Mohammad Norouzi, Ron J. Weiss, 2021, Interspeech.

Improving Language Identification for Multilingual Speakers

Roger Hsiao, Nanxin Chen, Arnab Ghoshal, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations

Alan McCree, Daniel Garcia-Romero, Gregory Sell, 2020, Comput. Speech Lang..

The JHU Speaker Recognition System for the VOiCES 2019 Challenge

Sanjeev Khudanpur, Daniel Povey, Nanxin Chen, 2019, INTERSPEECH.

The JHU-MIT System Description for NIST SRE18

Alan McCree, Daniel Garcia-Romero, Nanxin Chen, 2019 .

Non-Autoregressive Transformer for Speech Recognition

Shinji Watanabe, Nanxin Chen, Najim Dehak, 2021, IEEE Signal Processing Letters.

X-Vectors Meet Emotions: A Study On Dependencies Between Emotion and Speaker Recognition

Nanxin Chen, Najim Dehak, Raghavendra Pappagari, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Align-Denoise: Single-Pass Non-Autoregressive Speech Recognition

Piotr Żelasko, J. Villalba, Nanxin Chen, 2021, Interspeech.

Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict

Tetsunori Kobayashi, Shinji Watanabe, Tetsuji Ogawa, 2020, INTERSPEECH.

Listen and Fill in the Missing Letters: Non-Autoregressive Transformer for Speech Recognition

Shinji Watanabe, J. Villalba, Nanxin Chen, 2019, ArXiv.

Maestro-U: Leveraging Joint Speech-Text Representation Learning for Zero Supervised Speech ASR

B. Ramabhadran, P. Moreno, Ankur Bapna, 2022, 2022 IEEE Spoken Language Technology Workshop (SLT).

From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition

Tara N. Sainath, Rohit Prabhavalkar, Bo Li, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping

H. Zen, M. Bacchiani, Nanxin Chen, 2022, INTERSPEECH.

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation pdf

Shinji Watanabe, Tatsuya Komatsu, Hirofumi Inaguma, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Focus on the Present: A Regularization Method for the ASR Source-Target Attention Layer pdf

Nanxin Chen, Jes'us Villalba, Najim Dehak, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

End-to-end spoofing detection with raw waveform CLDNNS

Kai Yu, Yanmin Qian, Nanxin Chen, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust Training of Vector Quantized Bottleneck Models

Hans J. G. A. Dolfing, Nanxin Chen, Adrian Lancucki, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Unsupervised Neural Segmentation and Clustering for Unit Discovery in Sequential Data

Hans J. G. A. Dolfing, Nanxin Chen, Jan Chorowski, 2019 .

Non-Autoregressive Transformer Automatic Speech Recognition

Shinji Watanabe, Nanxin Chen, Jes'us Villalba, 2019, 1911.04908.

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

Nanxin Chen, Najim Dehak, Jesús Villalba, 2019, INTERSPEECH.

Efficient Adapters for Giant Speech Models

I. Shafran, Yonghui Wu, H. Soltau, 2023, ArXiv.