Every time you say something to Alexa or Siri, or use voice to text to send a text message, you’re using artificial intelligence. While those programs can be pretty accurate, there’s plenty of times ...

IBM’s speech recognition system now boasts a 5.5 percent error rate. This milestone is an industry record for conversational speech recognition, according to IBM ...

The overarching finding of “TechBrief: Automated Speech Recognition,” is that automated speech recognition (ASR) technologies require rigorous audit and governance practices, as well as guidelines to ...

Dysarthria, a motor speech disorder resulting from impaired neuromuscular control of the articulatory system, poses significant challenges for both communication and clinical assessment. Recent ...

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-To-Text Tools: Speech recognition technology is evolving rapidly. Automatic Speech Recognition (ASR) engines are no longer just simple tools to turn voice into text. They are now smarter, ...

(Nanowerk Spotlight) The human brain effortlessly converts spoken words into meaning, requiring minimal energy while achieving remarkable accuracy. Replicating this feat in artificial systems has ...

Children’s speech presents unique challenges for ASR systems. Their smaller, growing vocal tracts lead to greater acoustic variability. On top of that, kids are still learning how to speak, making ...

The Association for Computing Machinery's global Technology Policy Council has published an article titled "TechBrief: Automated Speech Recognition." It is the latest in a series of short technical ...