---
license: MIT
task_categories:
- audio-classification
- audio-to-audio
- speech-quality-assessment
language:
- en
tags:
- emotional-speech
- audio-quality
- perceptual-evaluation
- codec-evaluation
- mushra
- visqol
- polqa
size_categories:
- 1K<n<10K
---

# EARS-EMO-OpenACE: A Full-band Coded Emotional Speech Quality Dataset

This dataset provides emotional speech samples with comprehensive quality ratings for audio codec evaluation and perceptual quality research.

## Key Features
- Coded audio sample using Opus, LC3, LC3Plus, and EVS codecs
- Full-band emotional speech samples (48kHz, 24-bit), total 252 files:
- Size of 6 speakers x 6 emotions x 4 codecs = 144 scored audio files
- Size of 6 speakers x 6 emotions x 2 MUSHRA anchors = 72 scored files
- Size of 6 speakers x 6 emotions x 1 reference = 36 reference files 
- Human MUSHRA ratings (perceptual quality) obtained from 36 listeners
- Reference and coded audio pairs available for each emotion and codec
- Computed VISQOL objective quality scores
- Computed POLQA objective quality scores

## Applications
- Audio codec evaluation
- Perceptual quality modeling
- Emotion-aware audio processing
- Quality metric validation

See README.md for detailed documentation.