metadata

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.