Emotion Recognition in Speech Using Neural Networks Publication Trend The graph below shows the total number of publications each year in Emotion Recognition in Speech Using Neural Networks.

git commit -m "Initial commit: Speech and Emotion Recognition using LSTM and MFCC" 2 ... Training loop and evaluation │ ├── requirements.txt # List of required Python libraries ├── README.md # Project ...

Speech is a ... ability to analyse the emotional state and react according to that. This is why the need for emotion analysis arises. Through machine learning techniques, an effective model can be ...

Kopernica AI platform tracks over 790 body pointsCombines vision, voice, and psychology to “understand” complex human emotionsContinuously learns users' emotional patterns to personalize its responses ...

One such task is speech emotion recognition (SER), a crucial component of affective computing. Given the inherent complexity of recognizing emotions, even for humans, there is a persistent demand for ...

There is increasing research in the field of speech ... the emotional status of person through speech, and their studies focuses on use of appropriate databases, selection of suitable features and ...

A new study in Neurodegenerative Diseases looks closely at how Parkinson's disease can affect something as everyday and ...

On June 4, 2025, Microsoft released Phi-Omni-ST, an open-source multimodal language model (LM) designed for direct ...

Apple published a study investigating how its AI models can recognize not just what was said, but how it was said.

ChatGPT's natural-sounding voice mode just got a big update, including more natural-sounding synthetic voice options.