A speech recognition startup has taken an ambitious path to leapfrog Apple, Google and other tech giants. Can AI understand all 7,000 languages in the world?

The company adapted OpenAI's Whisper model using its novel technique and improved its speech recognition accuracy by a significant margin.

This blog focuses on the speech recognition and AI market profiled market innovator AssemblyAI, EmotionalCloud and other innovations advancing the speech and emotional AI intelligence landscape.

Balls of human brain cells linked to a computer have been used to perform a very basic form of speech recognition. The hope is that such systems will use far less energy for AI tasks than silicon ...

Learn more about the open source OpenAI Whisper AI speech recognition system and how to install it very easily utilizing the amazing features ...

Meta has built AI models that can recognize and produce speech for more than 1,000 languages—a tenfold increase on what’s currently available.

A new AI feature allows developers to generate synthetic speech data with greater precision and tailor voice attributes.

BEIJING -- ChipIntelli, a maker of AI-based speech recognition chips, recently raised several tens of millions of yuan ($3 million to $5 million) in a new funding round led by Haolan Capital ...

Meta AI reckons AV-HuBERT is extremely capable at this, delivering 75% more accuracy than the next best audio-visual speech recognition systems available.

Gcore, the edge AI, cloud, network, and security solutions provider, has announced the public availability of its Gcore Artificial Intelligence Automated Speech Recognition (AI ASR). It seamlessly ...