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

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 ...

Affectiva, the global leader in Artificial Emotional Intelligence, today announced its new cloud-based API for measuring emotion in recorded speech.

The model allowed the researchers to predict the human speech recognition performance of hearing-impaired listeners with different degrees of hearing loss for a variety of noise maskers with ...

Researchers at Jinhua Advanced Research Institute and Harbin University of Science and Technology have recently developed a deep learning algorithm that could detect depression from a person's speech.

Machine-learning system tackles speech and object recognition, all at once Model learns to pick out objects within an image, using spoken descriptions Date: September 18, 2018 Source ...

Baidu’s Deep-Learning System Rivals People at Speech Recognition China’s dominant Internet company, Baidu, is developing powerful speech recognition for its voice interfaces.

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.

Machine learning app scans faces and listens to speech to quickly spot strokes Researchers say that their tool detected cases with 79% accuracy, and did so within minutes.