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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.