warisqr007/GAPS
GAPS: Golden-Aligned Parallel Speech Corpus Overview GAPS (Golden-Aligned Parallel Speech) is a multi-corpus dataset designed for foreign accent conversion. The dataset provides parallel speech triplets consisting of: Original non-native speech Parallel native speech Golden speaker speech — synthetic speech that preserves the non-native speaker’s timbre and timing (including pauses) while exhibiting native pronunciation along with the corresponding text… See the full description on the dataset page: https://huggingface.co/datasets/warisqr007/GAPS.
| Author / organization | warisqr007 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 219 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 23 February 2026 |
| Last updated at source | 31 March 2026 |
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219 now (-4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 17 Oct 2026 Description: GAPS: Golden-Aligned Parallel Speech Corpus Overview GAPS (Golden-Aligned Parallel Speech) is a multi-corpus dataset designed for foreign accent conversion. The dataset provides parallel speech triplets consisting of: Original non-native sp → GAPS: Golden-Aligned Parallel Speech Corpus Overview GAPS (Golden-Aligned Parallel Speech) is a multi-corpus dataset designed for foreign accent conversion. The dataset provides parallel speech triplets consisting of: Original non-native sp
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