RAVDESS Re-recorded: Speech Emotion Audio via ESP32-S3 MEMS Microphone

RAVDESS is a widely used dataset for speech emotion and song recognition. This version appears to be a re-recording of the original audio stimuli using an ESP32-S3 microcontroller with a MEMS microphone. The dataset is hosted on Kaggle, but detailed metadata about the recording process and file specifics is not provided.

Use Cases

• Train a model to classify emotional states from speech audio (inferred from domain, verify after download)
• Benchmark audio feature extraction pipelines against a known emotional speech corpus (inferred from domain, verify after download)
• Study the impact of MEMS microphone recording on speech emotion analysis (inferred from domain, verify after download)

Strengths

• Based on the established RAVDESS dataset, a standard in speech emotion recognition research.
• Published on Kaggle, a platform with integrated data exploration tools.

Limitations

• Metadata is minimal; actual content, recording quality, and file formats require verification after download.
• Column-level documentation and sample data are unavailable, making preliminary assessment difficult.
• The license, author, and organization details are unknown, which may affect usage rights.

Provenance

Source

Kaggle

Collection Method

Likely a re-recording of the original RAVDESS audio stimuli using an ESP32-S3 MEMS microphone.