Meta Expands AI Speech Recognition to 1,600+ Languages

Omnilingual Automatic Speech Recognition can transcribe speech in over 1,600 languages — including 500 low-resource languages ...
Science Daily

Machine listening: Making speech recognition systems more inclusive

One group commonly misunderstood by voice technology are individuals who speak African American English, or AAE. Researchers designed an experiment to test how AAE speakers adapt their speech when ...

Drax model from aiOla makes AI speech recognition viable and reliable in noisy environments

With Drax, aiOla says, it has come up with a novel technique for training speech recognition systems that’s finally able to ...
SiliconANGLE

Meta AI builds speech recognition platform that uses visual cues to filter out background noise

Facebook parent company Meta Platforms Inc. is trying to tackle one of the biggest problems in artificial intelligence-based speech recognition: background noise. Modern AI speech recognition systems ...
VentureBeat

Study finds that even the best speech recognition systems exhibit bias

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 ...
VentureBeat

Deepgram raises $25 million to build custom enterprise speech recognition models

Deepgram, a Y Combinator graduate building custom speech recognition models, today announced that it raised $25 million in series B funding led by Tiger Global. CEO and cofounder Scott Stephenson says ...
Business Wire

Speech Processing Solutions: Next-generation Workflow Solution With AI-powered Speech Recognition, Now in Australia

SYDNEY--(BUSINESS WIRE)--The new version of the Philips dictation workflow solution for enterprise businesses, SpeechExec Enterprise 7.0 (SEE 7.0) is now available in Australia. The close ...
CNN

AI-powered tech could help people with speech impairments to work remotely

You’ve probably experienced the frustration of being misheard or misunderstood by a smart speaker or AI assistant. For people with non-standard speech, it can happen in nearly every interaction with ...