textless-lib: a Library for Textless Spoken Language Processing
Eugene Kharitonov, Jade Copet, Kushal Lakhotia, Tu Anh Nguyen, Paden Tomasello, Ann Lee, Ali Elkahky, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux, Yossi Adi
People
Abdelrahman Mohamed
Research Scientist
I’m a Research Scientist at Meta AI Research since 2018. My research interests lie in deep learning, speech, and natural language processing. Before joining Meta AI, I worked at Amazon Alexa and Microsoft Research. I received my PhD from the CS department at the University of Toronto working with Gerald Penn and Geoffrey Hinton. My paper “Convolutional Neural Networks for Speech Recognition” received the IEEE Signal Processing Society Best Paper Award for 2016.
Interests
Speech recognition, deep learning, natural language processing
Latest Publications
NAACL - 2022
SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities
Hsiang-Sheng Tsai, Heng-Jui Chang, Wen-Chin Huang, Zili Huang, Kushal Lakhotia, Shu-wen Yang, Shuyan Dong, Andy T. Liu, Cheng-I Jeff Lai, Jiatong Shi, Xuankai Chang, Phil Hall, Hsuan-Jui Chen, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee
Text-Free Prosody-Aware Generative Spoken Language Modeling
Eugene Kharitonov, Ann Lee, Adam Polyak, Yossi Adi, Jade Copet, Kushal Lakhotia, Tu-Anh Nguyen, Morgane Rivière, Abdelrahman Mohamed, Emmanuel Dupoux, Wei-Ning Hsu
Learning Audio-visual Speech Representation by Masked Multimodal Cluster Prediction
Bowen Shi, Wei-Ning Hsu, Kushal Lakhotia, Abdelrahman Mohamed
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
Adam Polyak, Yossi Adi, Jade Copet, Eugene Kharitonov, Kushal Lakhotia, Wei-Ning Hsu, Abdelrahman Mohamed, Emmanuel Dupoux
Kaizen: Continuously Improving Teacher Using Exponential Moving Average For Semi-supervised Speech Recognition
Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed