philgzl/ears
EARS: Expressive Anechoic Recordings of Speech This is a mirror of the Expressive Anechoic Recordings of Speech (EARS) dataset. The original files were converted from WAV to Opus to reduce the size and accelerate streaming. Sampling rate: 48 kHz Channels: 1 Format: Opus Splits: Train: 92 hours, 15939 utterances, speakers p001 to p099 Validation: 2 hours, 322 utterances, speakers p100 and p101 Test: 6 hours, 966 utterances, speakers p102 to p107 License: CC BY-NC 4.0 Source:… See the full description on the dataset page: https://huggingface.co/datasets/philgzl/ears.
| Author / organization | philgzl |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 870 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 June 2025 |
| Last updated at source | 8 July 2025 |
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870 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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