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Scaling audio-visual learning without labels

Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere have developed a new technique for analyzing unlabeled audio and visual data that could improve the performance of machine-learning models used in applications like speech recognition and object detection. The work, for the first time, combines two architectures of self-supervised learning, contrastive learning and masked data modeling, in an effort to scale machine-learning tasks like event classification in sing. ....

United States , Yuan Gong , Alexanderh Liu , Leonid Karlinsky , Hilde Kuehne , Andrew Rouditchenko , Artificial Intelligence Laboratory , International Conference On Learning Representations , Goethe University Frankfurt , University Of Texas At Austin , Watson Ai Lab , Bing Create , Computer Science , Jim Glass , David Harwath Phd , Goethe University , International Conference , Press Release Image , It Ibm , Machine Learning , Elf Supervised , Press Release , Ews Release ,

Scaling audio-visual learning without labels

Scaling audio-visual learning without labels
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United States , Hilde Kuehne , Leonid Karlinsky , Alexanderh Liu , Andrew Rouditchenko , Yuan Gong , International Conference On Learning Representations , Watson Ai Lab , Goethe University Frankfurt , University Of Texas At Austin , Artificial Intelligence Laboratory , Computer Science , Jim Glass , David Harwath Phd , Goethe University , International Conference ,

Scaling audio-visual learning without labels

A new multimodal machine-learning technique from the MIT-IBM Watson AI Lab blends two kinds of self-supervised learning methods to learn more similarly to humans. ....

United States , Alexanderh Liu , Hilde Kuehne , Leonid Karlinsky , Yuan Gong , Andrew Rouditchenko , Artificial Intelligence Laboratory , International Conference On Learning Representations , Goethe University Frankfurt , University Of Texas At Austin , Watson Ai Lab , Computer Science , Jim Glass , David Harwath Phd , Goethe University , International Conference ,

Toward speech recognition for uncommon spoken languages

Automated speech-recognition technology has become more common with the popularity of virtual assistants like Siri, but many of these systems only ....

Yang Zhang , Yi Lun Liao , Kaizhi Qian , David Cox , Sameer Khurana , Shiyu Chang , Chengi Jeff Lai , Alexanderh Liu , Watson Ai Lab , Artificial Intelligence Laboratory , Department Of Computer Science , Language Systems Group , Department Of Electrical Engineering , Information Engineering At National Taiwan University , Yung Sung Chuang , James Glass , Spoken Language Systems Group , Neural Information Processing Systems , Hung Yi Lee , Electrical Engineering , Computer Science , Information Engineering , National Taiwan University , Language Learning ,