Like most of us, [Peter] had a bit of extra time on his hands during quarantine and decided to take a look back at speech recognition technology in the 1970s. Quickly, he started thinking to himself, ...

Today, 85 percent of radiologists use a speech recognition system to record their reports while 15 percent continue to dictate a report and send it to a transcriptionist, according to new research ...

Speech recognition software used to be awful. It couldn't deal with background noise, its vocabulary was limited and it was awkward to use in public. The study, a collaboration between Stanford ...

Choosing a transcription service requires many considerations. In today's fast-paced world, speed is vital, as well as accuracy. You want to spend as little time as possible correcting the errors in ...

Speech recognition technology is finally working for kids. That wasn’t the case back in 1999, when my colleagues at Scholastic Education and I launched a reading intervention program called READ 180.

Deepgram, a startup focused on high-quality, real-time speech recognition, announced a $12 million Series A this morning. The startup, founded a half decade ago, according to Crunchbase data, with ...

Postdoctorate Viet Anh Trinh led a project within Strand 1 to develop a novel neural network architecture that can both recognize and generate speech. He has since moved on from iSAT to a role at ...

Speech recognition has evolved from rudimentary pattern‐matching systems into sophisticated, data‐driven technologies that convert spoken language into written text. Modern automatic speech ...

Siri can tell you when to take your medication and Google can play your favorite tunes. All you need to do is give the voice command. If voice assistants are transforming the way we live, it surely ...

What if the key to improving speech recognition accuracy is simply mixing all available speech datasets together to train one large AI model? That’s the hypothesis behind a recent study published by a ...