Christian Fuegen

Research Scientist

I joined Facebook as a research scientist in 2013 due to the acquisition of Mobile Technologies. At Mobile Technologies, I was one of the core developers of “Jibbigo”, an on-device speech-to-speech translator for mobile devices, where I worked from 2007 until 2013, first as a research scientist and later as director of research.

I received a doctorate for my work on simultaneous translation systems of lectures and speeches from University of Karlsruhe (TH) in 2008 in which I developed core components for a first-ever simultaneous lecture translation system, including innovations in speech recognition, segmentation, adaptation and work on real-time and latency requirements for simultaneous speech translation systems.

Besides this, I have worked on a wide range of topics in the field of speech processing, speech translation and user interfaces, and I’ve participated in numerous international speech-to-text evaluation campaigns on conversational telephone speech, meetings, lectures and European parliament plenary speeches. I also participated in the development of the single pass Ibis speech-to-text decoder used for these evaluations.


Speech recognition, speech-to-speech translation, natural language understanding, and machine learning

Latest Publications

Interspeech - October 30, 2020

Interactive Text-to-Speech System via Joint Style Analysis

Yang Gao, Weiyi Zheng, Zhaojun Yang, Thilo Koehler, Christian Fuegen, Qing He

Interspeech - October 26, 2020

Weak-Attention Suppression For Transformer Based Speech Recognition

Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer

ICASSP - May 8, 2020

Spatial Attention for Far-Field Speech Recognition with Deep Beamforming Neural Networks

Weipeng He, Lu Lu, Biqiao Zhang, Jay Mahadeokar, Kaustubh Kalgaonkar, Christian Fuegen

ICASSP - May 4, 2020

Transformer-based Acoustic Modeling for Hybrid Speech Recognition

Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer

ICASSP - May 4, 2020

Libri-light: A benchmark for ASR with limited or no supervision

Jacob Kahn, Morgan Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux

ICASSP - May 4, 2020

G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR

Duc Le, Thilo Koehler, Christian Fuegen, Michael L. Seltzer

IEEE ASRU Workshop - December 14, 2019

From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition

Duc Le, Xiaohui Zhang, Weiyi Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer

Interspeech - September 16, 2019

Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR

Zhehuai Chen, Mahaveer Jain, Yongqiang Wang, Michael L. Seltzer, Christian Fuegen

ICASSP 2018 - April 15, 2018

Towards End-to-End Spoken Language Understanding

Dmitriy Serdyuk, Yongqiang Wang, Christian Fuegen, Anuj Kumar, Baiyang Liu, Yoshua Bengio