Frank Zhang

Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR pdf

Geoffrey Zweig, Xiaohui Zhang, Frank Zhang, 2020, 2021 IEEE Spoken Language Technology Workshop (SLT).

Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition pdf

Frank Zhang, Yongqiang Wang, Chunyang Wu, 2020, ArXiv.

Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition Applications pdf

Frank Zhang, Julian Chan, Yongqiang Wang, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving RNN Transducer Based ASR with Auxiliary Tasks pdf

Geoffrey Zweig, Frank Zhang, Chunxi Liu, 2020, 2021 IEEE Spoken Language Technology Workshop (SLT).

Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition pdf

Frank Zhang, Julian Chan, Yongqiang Wang, 2020, ArXiv.

Improved Language Identification Through Cross-Lingual Self-Supervised Learning pdf

Frank Zhang, Yatharth Saraf, Diptanu Gon Choudhury, 2021, ArXiv.

Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings

Michael Picheny, Frank Zhang, Yatharth Saraf, 2021, 2110.03520.

Scaling ASR Improves Zero and Few Shot Learning pdf

Gil Keren, Frank Zhang, Ozlem Kalinli, 2021, INTERSPEECH.

On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models pdf

Frank Zhang, Julian Chan, Fuchun Peng, 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).