Abstract: Speech emotion recognition (SER) is a crucial technology for applications such as human-computer interaction, mental health monitoring, and call centre analytics. However, SER research in ...

Abstract: Speech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER ...

The BBC is reportedly expected to apologize after using a “doctored” clip of President Trump’s Jan. 6, 2021, speech in a documentary released last year. BBC chairman Samir Shah will apologize to the ...

Background: Mental disorders have a significant impact on many areas of people’s life, particularly on affective regulation; thus, there is a growing need to find disease-specific biomarkers to ...

Speech emotion recognition base on Long Short-Term Model (LSTM), implemented in tensorflow. The system improve the accuracy of emotion recognition while maintaining lightweight through feature ...

Burlington Coat Factory is under fire for allegedly using facial recognition in its stores. The public is speaking out over Burlington Coat Factory’s alleged use of facial recognition technology to ...

NEW YORK CITY — President Donald Trump used his address to the United Nations General Assembly to press for the release of hostages held by Hamas and condemn the flurry of US allies that recognized ...

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 ...

ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

Here's a closer look at the programming behind my animatronic mouth. Using Arduino, Python, and a few open-source libraries, I take a typed sentence and convert it into an animation sequence.

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