When there aren’t blenders blending, dogs barking, or TVs blaring in the background, automated speech recognition (ASR) technologies like Apple’s Siri and Amazon’s Alexa are amazing. But consumers and companies are pushing use cases into increasingly challenging situations with more background noise, which leads to less successful outcomes. With so many companies increasingly turning to voice-enabled products—personal assistants, home hubs, smart TVs, hands-free automotive—the industry needs solutions to improve ASR accuracy...
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