Datasets:
| # Expresso Dataset | |
| **Source:** https://speechbot.github.io/expresso | |
| **License:** CC BY-NC 4.0 | |
| **Description:** Expresso is a high-quality (48kHz) expressive speech dataset that includes both expressively rendered read speech (8 styles) and improvised dialogues (26 styles). The dataset includes 4 speakers (2 males, 2 females), and totals approximately 40 hours (11h read, 30h improvised). Transcriptions are provided for read speech. | |
| **Expressive Styles:** | |
| - angry, animal, animal_directed, awe, bored, calm | |
| - child, child_directed, confused, default, desire, disgusted | |
| - enunciated, fast, fearful, happy, laughing, narration | |
| - non_verbal, projected, sad, sarcastic, singing, sleepy | |
| - sympathetic, whisper | |
| **Format:** FLAC 48kHz 16-bit mono | |
| **Total samples:** 12293 | |
| **Total tar files:** 25 | |
| **Reference:** Tu Anh Nguyen et al. "EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis." INTERSPEECH 2023. | |