Topic summary
Emotion detection
Extracted from the Wikipedia article Emotion recognition.
Emotion recognition in audio
Different from emotion recognition in text, vocal signals are used for the recognition to extract emotions from audio. Unlike images and videos, which are typically two-dimensional or three-dimensional data capturing spatial or spatio-temporal features, audio is inherently one-dimensional time-series data that represents variations in sound amplitude over time. This fundamental difference makes emotion recognition from audio unique. Instead of relying on visual cues or textual semantics, audio-based emotion detection focuses on prosodic and acoustic features such as pitch, intensity, speech rate, and voice quality.