Resume
Academic Achievements
- 2024: Published 'Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition' in Interspeech.
- 2024: Published 'On the Relation between Internal Language Model and Sequence Discriminative Training for Neural Transducers' in ICASSP.
- 2023: Published multiple papers including 'Investigating the Effect of Language Models in Sequence Discriminative Training for Neural Transducers' and more.
- 2022: Published multiple papers including 'Efficient Training of Neural Transducer for Speech Recognition' and more.
- 2021: Published multiple papers including 'Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept' and more.
Education
- PhD student at the Machine Learning and Human Language Technology Group of RWTH Aachen University from January 2019 to December 2023.
Background
- Research interests include: Sequence-to-sequence modeling, end-to-end ASR, (deep) neural networks, search and decoding, acoustic modeling.
Miscellany
- Other links: Google Scholar, LinkedIn, Email: zhou@cs.rwth-aachen.de