Verbal Emotion Recognition

Abstract

The present invention relates to a speech-based recognition system using python programming language foranalyzing audio data. Specifically, the system utilizes the ravdess (ryerson audio visual database of emotional speech and song) dataset, which contains audio files rated by individuals for emotional validity, intensity, and genuineness. The system employs the librosa, soundfile, and pyaudio libraries in python forprocessing and analyzing audio data. The current innovation pertains to a speech-based recognition system that analyzes audio data utilizing the python programming language. The system specifically employs the ravdess (ryerson audio-visual database of emotional speech and song) dataset, comprising audio files that have been evaluated by users in terms of authenticity, intensity, and emotional validity. Python libraries librosa, soundfile, and pyaudio are utilized by the system to analyze and process audio data