Analyzing of audio data, including waveform and spectrogram analysis, silence detection, and data distribution visualization.
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Updated
Mar 25, 2024 - Jupyter Notebook
Analyzing of audio data, including waveform and spectrogram analysis, silence detection, and data distribution visualization.
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Emotion Recognition from Speech using ML analyzes vocal features to identify emotions, supporting applications in mental health, customer support, and enhanced human-computer interaction through intelligent emotion detection.
👶🏿A reliable technological solution for accurately identifying and classifying the emotional states expressed in baby cries is urgently needed to support optimal emotional development in early infancy and enable responsive parenting. Caregivers gain real-time insights into their baby's emotional state, facilitating timely and appropriate response
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