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speech recognition

Speech recognition systems show bias
Artificial IntelligenceContributorsFeaturedNews

This article originally appeared on VentureBeat and is reproduced with permission. Even state-of-the-art automatic speech recognition (ASR) algorithms struggle to recognize the accents of people from certain regions of the world. That’s the top-line finding of a new study published by researchers at the University of Amsterdam, the Netherlands Cancer Institute, and the Delft

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BI & AnalyticsMachine LearningNews

The IBM Watson developer cloud just got five more free beta services added to its inventory, which will expand IBM Watson capabilities to images, speech, and analytics, the IT giant reported Wednesday. The five new services now available on Bluemix are: Speech to Text : This is a cloud-based, real-time

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Machine LearningNews

Wit.ai, the Y Combinator startup, that has been working on an open and extensible natural language platform all the while helping developers to build applications and devices that turns speech into actionable data, announced earlier this week, its acquisition by Facebook. “It is an incredible acceleration in the execution of

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Machine LearningNews

The advances in the field of speech recognition over the past couple of years have been huge. Since Microsoft began working with deep learning neural networks in 2009, huge improvements in the way algorithms can detect your dialogue have occurred. Since then, many other big names like Google and IBM

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