Universal 2 represents a major advancement in AI speech-to-text technology, offering unmatched accuracy and flexibility across a broad array of audio processing tasks. Trained on an extensive dataset ...

Google updates medical AI offerings by releasing MedGemma 1.5 for imaging and MedASR for medical speech-to-text transcription.

Google introduces MedASR, an open-weight medical speech-to-text model positioned as a foundational layer for healthcare AI ...

Today, a wide range of technologies enable the efficient conversion of audio into written text. This capability plays a ...

Google has launched MedGemma 1.5 and MedASR, two open AI models for healthcare research. The tools focus on analysing medical ...

On Tuesday, Meta announced SeamlessM4T, a multimodal AI model for speech and text translations. As a neural network that can process both text and audio, it can perform text-to-speech, speech-to-text, ...

The field of speech recognition has experienced transformative advances owing to the integration of neural network methodologies. Modern systems now merge statistical approaches with deep learning, ...

What if the race to perfect AI speech recognition wasn’t just about accuracy but also speed and usability? In a world where audio-to-text transcription powers everything from virtual meetings to ...

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

Meta took a step towards a universal language translator on Tuesday with the release of its new Seamless M4T AI model, which the company says can quickly and efficiently understand language from ...