A new generative AI feature brings voice recognition to tiny devices with a text-to-speech (TTS) synthetic dataset generation capability. It enables developers to generate synthetic speech data with ...

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 ...

According to a Voices survey, 81% of Americans use voice assistants in their day-to-day life. Along with allowing users to search for information, these solutions also offer companies options to make ...

Discover how FPGA-accelerated automatic speech recognition (ASR) models are reshaping the landscape of speech-to-text applications by enabling faster inference, significantly reduced latency, and ...

The company stated that the model has been trained on proprietary multilingual datasets spanning more than 1,056 domains.

The accuracy of our current voice recognition technology and speech-to-text systems is already impressive, but there’s still room for improvement. In the upcoming years, the accuracy of voice ...

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, ...

Voice recognition is getting integrated in nearly all facets of modern living, but there remains a big gap: Speakers of minority languages and those with thick accents or speech disorders like ...