AutoML, the application of machine learning to create new automation tools, is branching out to new use cases, making itself useful for particularly tedious data science tasks when training speech ...

It notes that smaller organizations have a distinct disadvantage when trying to develop models for speech recognition, because the most comprehensive datasets available have always had high ...

Meta Platforms Inc.’s artificial intelligence research team today said it has open-sourced a new project called Massively Multilingual Speech, which aims to overcome the challenges of creating ...

While many use cases are well suited to cloud deployment, Deepgram’s necessitated an on-premises approach for their compute-intensive speech recognition training jobs. Jumping into the AI Fast Lane ...

It's a little long, but it will help you learn how to use speech recognition, while training your computer to learn the way you speak. It will teach you the basics, dictation, commanding, and ...

Jonathan Dalby, Diane Kewley-Port, Explicit Pronunciation Training Using Automatic Speech Recognition Technology, CALICO Journal, Vol. 16, No. 3, Special Issue: Tutors that Listen: Speech Recognition ...

Speech recognition systems can be speaker independent, typically with a limited vocabulary, or speaker dependent.