# 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.