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 ...

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 ...

Today, powered by the latest technologies like Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning, speech recognition is touching new milestones.

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.

Most people are familiar with ASR through speech recognition tools like Alexa and Siri. The study consisted of eight normal-hearing and 20 hearing-impaired listeners who were exposed to a variety ...

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.

Machine-learning system tackles speech and object recognition, all at once. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 09 / 180918140837.htm ...

Speech recognition technology is finally working for kids. That wasn’t the case back in 1999, when my colleagues at Scholastic Education and I launched a reading intervention program called READ ...