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 such as ...

Emotion recognition based on neural signals is leading the revolution of affective science. By analyzing brain activity, we can glimpse the secrets of the human inner world. This technology not only ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.