When training large language models on human speech, they have the entire history of human communication to pull from. For ...
Household robots and AI assistants illustrate how personality can make technology more approachable, while also amplifying ...
The final, formatted version of the article will be published soon. Diagnosing Autism Spectrum Disorder (ASD) in verbally fluent individuals, based on speech patterns in examiner-patient dialogues ...
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 ...
Abstract: Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction, offering insights into user emotions, particularly in environments with complex acoustic interactions ...
Abstract: Emotion recognition from speech is a key component of affective computing, enabling machines to interpret human emotional states through vocal cues. However, achieving robust performance in ...
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