Overview Leading voice AI frameworks power realistic, fast, and scalable conversational agents across enterprise, consumer, ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...

A positive association was noted between age and emotion recognition, emotion definition, and test of emotion comprehension (TEC) scores. Cognitive empathy along with emotional language helps to ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

In clinical settings, accurately understanding patients' emotions and responding appropriately plays a critical role in improving treatment outcomes and patient satisfaction. This technology acquires ...

In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...

Trevis Williams is eight inches taller than a man accused of flashing a woman in Union Square in February. The police arrested him anyway. Credit...Natalie Keyssar for The New York Times Supported by ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...