EMNS
Identifier: SLR136
Summary: An emotive single-speaker dataset for narrative storytelling. EMNS is dataset containing transcriptions, emotion, emotion intensity, and description of acted speech.
Category: Speech, text-to-speech, automatic speech recognition
License: Apache 2.0
Downloads (use a mirror closer to you):
raw_webm.tar.xz [error getting size] (Unprocessed raw recording
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raw_alignment.tar.xz [error getting size] ( Alignment for raw audio recordings
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cleaned_alignment.tar.xz [error getting size] ( Trimed silance from start and end of recording.
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cleaned_webm.tar.xz [error getting size] ( Alignment for processed audio recordings
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metadata.csv [error getting size] ( Pipe seporated csv, containing transcription, description, emotion, emotion intensity and path to audio recording.) Mirrors:
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About this resource:
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@Unpublished{EMNS_corpus,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},
}
