Speech recognition has gone from convenient to crucial over the last few years as smart speakers and driving assist modes have taken off — but not everyone’s voice is recognized equally well.

The new system, called Deep Speech 2, is especially significant in how it relies entirely on machine learning for translation. Whereas older voice-recognition systems include many handcrafted ...

China’s leading Internet-search company, Baidu, has developed a voice system that can recognize English and Mandarin speech better than people, in some cases. The new system, called Deep Speech 2, is ...

Speech recognition remains a challenging problem in AI and machine learning. In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company ...

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 ...

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 ...

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 ...

More and more phones, televisions, smart speakers, and cars are embedded with automated speech-recognition technologies that transcribe speech into written words. These technologies enable the devices ...

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 ...

SAN FRANCISCO - Results from an experiment suggest that speech recognition, in case of composing text messages on smartphone, can be faster and more accurately than humans can type on phone screens.