I am a first-year PhD student in Computer Science at Cornell University working with Yoav Artzi. I am grateful to be supported by Cornell Hopcroft Fellowship (2021-2022).
I am broadly interested in machine learning and multimodality (natural language processing, computer vision, audio, etc.), and have a special focus on developing robust models that are accessible, fair and aligning with human values.
Before starting my PhD, I spent time at Facebook AI Research, New York, as an AI resident working on speech translation with Jiatao Gu, Changhan Wang and Juan Pino. I received my master’s degrees from Cambridge University and CentraleSupélec.
Mail: annewu at cs dot cornell dot edu
CoVoST 2 and Massively Multilingual Speech-to-Text Translation
Changhan Wang*, Anne Wu*, Jiatao Gu, Juan Pino*
Large-Scale Self- and Semi-Supervised Learning for Speech Translation
Changhan Wang*, Anne Wu*, Juan Pino*, Alexei Baevski, Michael Auli, Alexis Conneau
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Changhan Wang, Morgane Riviere, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino, Emmanuel Dupoux
Self-supervised representations improve end-to-end speech translation
Anne Wu, Changhan Wang, Juan Pino, Jiatao Gu
fairseq s2t: Fast speech-to-text modeling with fairseq
Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino
AACL 2020: System Demonstrations
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus
Changhan Wang, Juan Pino, Anne Wu, Jiatao Gu