English Speech Emotion Dataset – Labeled Audio from 20 Native Speakers with 10 Emotions

emotional speech dataset

English speech emotion dataset

speech emotion recognition

SER dataset

emotional audio data

labeled emotional speech

affective computing dataset

native English speakers

AI speech dataset

This English Emotional Speech Dataset features recordings from 20 native American English speakers. Each participant performed scripted monologues expressing 10 distinct emotions, including anger, happiness, sadness, fear, disgust, and others, simulating real-world scenarios. The recordings were captured via high-quality microphones and are accompanied by accurate transcriptions and relevant metadata.The dataset is ideal for training and evaluating speech emotion recognition (SER) systems, emotional TTS, affective computing, and conversational AI applications. Its geographic and speaker diversity enhances generalizability in real-life environments.All data was collected in compliance with international data privacy laws including GDPR, CCPA, and PIPL, ensuring legal and ethical use in both research and commercial settings. The dataset has been validated by multiple AI companies for performance benchmarking.

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