Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction. The deployment of sophisticated architectures ...

The most common use of Speech Recognition is to perform basic activities like Searching on Google, Setting Reminders, Scheduling Meetings, Playing Songs, Controlling Synced Devices, etc.

Machine learning improves human speech recognition Date: March 1, 2022 Source: American Institute of Physics Summary: To understand how hearing loss impacts people, researchers study people's ...

Machine learning is becoming increasingly powerful, with a number of researchers and startups developing solutions that can analyze our speech for various things, including neurological dissorders.

As with many of machine learning’s biggest challenges, it comes down to the data. The use of manually labelled data can be severely limiting in terms of giving machine learning models enough context ...

Microsoft’s Azure gets all emotional with machine learning Project Oxford AI services detect emotions, identify voices, and fix bad spelling. Sean Gallagher – Nov 11, 2015 6:00 am | 33 ...

Microsoft adds emotion recognition to its collection of machine learning APIs, potentially leading to computers that can sense a user's mood by looking at them.

In the latest post on its machine learning blog, the Apple audio software engineering team explains the challenges of speech detection for smart speakers, and how it uses machine learning models ...