Today, speech technology is only available for a small fraction of the thousands of languages spoken around the world because traditional systems need to be trained on large amounts of annotated speech audio with transcriptions. Obtaining that kind of data for every human language and dialect is almost impossible.
Wav2vec works around this limitation by requiring little to no transcribed data. The model uses self-supervision to push the boundaries by learning from unlabeled training data. This enables speech recognition systems for many more languages and dialects, such as Kyrgyz and Swahili, which don’t have a lot of transcribed speech audio. Self-supervision is the key to leveraging unannotated data and building better systems.
AI är inte en neutral teknologi. Humanekologen Alf Hornborg förklarar att modern teknik i allmänhet handlar om att några människor gör andra till tjänare.
November 2020 In their World Economic Forum treatise Covid-19: The Great Reset, economists Klaus Schwab and Thierry Malleret bring us the voice of would-be Global Governance.
"The future is shaped by investment choices. Not by naughty speech, not even by elections, but by investment choices. For the people to regain power, they must reassert their command over how and for what purposes capital is invested. " (Diana J.)
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L. Abele, L. Ollinger, I. Heck, und M. Kleinsteuber. Trends in Intelligent Robotics, Automation, and Manufacturing: First International Conference, IRAM 2012, Kuala Lumpur, Malaysia, 330, Springer, Heidelberg, (2012)