Emotive Narrative Storytelling (EMNS) corpus introduces a dataset consisting of a single speaker, British English speech with high-quality labelled utterances tailored to drive interactive experiences with dynamic and expressive language. Each audio-text pairs are reviewed for artefacts and quality. Furthermore, we extract critical features using natural language descriptions, including word emphasis, level of expressiveness and emotion.

EMNS data collection tool: https://github.com/knoriy/EMNS-DCT

EMNS cleaner: https://github.com/knoriy/EMNS-cleaner

You can cite the data using the following BibTeX entry:

@Unpublished{EMNS_corpus,
  title={{EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novels}},
  author={Kari, Noriy and Xiaosong, Yang and Jian, Zhang},
  month={march},
  year={2023},
}