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 ...

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 ...

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 ...

QUANTICO, Va. (AP) — President Donald Trump on Tuesday proposed using American cities as training grounds for the armed forces and spoke of needing U.S. military might to combat what he called the ...

Mr. Lukianoff is the president and chief executive of the Foundation for Individual Rights and Expression. If you’re a free-speech lawyer, you face a choice: Either expect to be disappointed by people ...

Add Yahoo as a preferred source to see more of our stories on Google. “No, that is free speech. That’s like the whole point of free speech, that it’s protected even when you don’t like it,” said the ...

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 ...