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 ...

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 ...

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 ...

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 ...

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

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 ...

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

Google has launched MedGemma 1.5 and MedASR, two open AI models for healthcare research. The tools focus on analysing medical images and transcribing clinical speech, offering researchers and ...

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

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 ...