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 ...

By utilizing large data sets, machines apply and automatically learn through the analysis of patterns and use that knowledge ... application of machine learning to improve speech recognition.

Understanding machine learning’s advantages and disadvantages is important for its successful deployment in real-world scenarios. Machine learning has many use cases, and applications for the ...

The focus of BrainGate is to use this technology to ... from nerve cells into the intended speech, the researchers will rely on advanced machine-learning techniques to create sophisticated ...

As scientists use machine learning to decode the sounds of whales, dogs, and dolphins, opinions vary on how best to deploy ...

Kapoor says that many researchers are rushing to use machine learning without a comprehensive understanding of its ... In a commencement speech at Temple University, I shared my views on how ...

Modern machine learning methods have enabled major advances in analyzing big data, but the current state-of-the-art technology is not suited for the intricacies of surveys that use complex sampling ...