Recent advances in artificial intelligence have profoundly transformed the field of speech recognition and language processing. Contemporary methods now harness deep neural networks and sophisticated ...

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 ...

Are humans or machines better at recognizing speech? A new study shows that in noisy conditions, current automatic speech recognition (ASR) systems achieve remarkable accuracy and sometimes even ...

Google Gemini 3.1 Flash Live moves voice agents from speech-to-text to direct speech-to-speech, cutting latency and boosting ...

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 ...

MAI-Transcribe-1 brings fast, multilingual speech to text across 25 languages with strong performance in noisy audio, ...

Philips SpeechLive Health AI Assistant uses healthcare-trained AI to convert clinical conversations into structured notes, helping clinicians reduce administrative burden Speech Processing Solutions, ...

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 ...

Chip vendors appear convinced that voice activation will be the next big wave in design, both for consumer and other applications. It’s easy to see why: Reliable hands-free operation of electronics ...