Keith Achorn, a machine learning engineer at Intel Corp. who helped oversee the curation of the datasets, said the hope is that it will help more developers to build speech recognition systems ...

Researchers explore a human speech recognition model based on machine learning and deep neural networks. They calculated how many words per sentence a listener understands using automatic speech ...

There are many industries where getting the numbers right for speech-to-text tasks is crucial, and customers operating in numerically intensive industries need to be confident that their tech is a ...

Microsoft wants to put machine learning everywhere.Microsoft releases open source toolkit used to build human-level speech recognition Microsoft wants to put machine learning everywhere.

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 ...

Traditionally, the machine learning system is provided with labeled data — think an audio file of speech with an accompanying metadata or text file that has what’s being said, usually ...

‘It’s just so natural’ Perhaps the biggest marker of speech recognition’s success is that we have started to use voice recognition instinctively, without thinking, and with the expectation that they ...

Machine learning improves Arabic speech transcription capabilities Speech recognition technology is building a bridge between humans and machines, but not so much for the world’s population.