Automatic speech recognition (ASR) has made incredible advances in the past few years, especially for widely spoken languages such as English. Prior to 2020, it was typically assumed that human ...

The Speech Accessibility Project is a research initiative to make voice recognition technology more useful for people with a range of diverse speech patterns and disabilities. The project is housed ...

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 ...

Seminar Talks on Applications for Research and Teaching with Artificial Intelligence (START AI). START AI is a talk series ...

If you would like to learn more about the open-sourced a neural net known as Whisper, created and released as open source by OpenAI. This automatic speech recognition (ASR) system is designed to offer ...

The business world often believes that the numbers speak for themselves. Well, in the age of technological marvels, it’s not just the numbers that are speaking; it’s your customers as well. With ...

The model was unveiled by Cybernet AI, a Kazakh startup specializing in secure corporate AI solutions. It is the first ...

Kazakhstan has introduced the largest automatic speech recognition (ASR) model developed specifically for Turkic languages, ...

BOSTON--(BUSINESS WIRE)--After a year of profound improvement in accuracy, ASR providers are doubling down on improving the accuracy of their solutions and focusing on their differentiation, according ...

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

Research into children's speech recognition is a dynamic field that addresses the unique challenges posed by the developmental variability in children's vocal characteristics. The inherent differences ...

Listening to people with Parkinson's disease made an automatic speech recognizer 30-percent more accurate, according to a new study. As Mark Hasegawa-Johnson combed through data from his latest ...