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license: cc-by-nc-4.0 |
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# StoryTTS |
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> [STORYTTS: A HIGHLY EXPRESSIVE TEXT-TO-SPEECH DATASET WITH RICH TEXTUAL EXPRESSIVENESS ANNOTATIONS](https://ieeexplore.ieee.org/document/10446023) |
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StoryTTS is a highly expressive text-to-speech dataset that contains rich expressiveness both in acoustic and textual perspective, from the recording of a Mandarin storytelling show (评书), which is delivered by a female artist, Lian Liru(连丽如). It contains 61 hours of consecutive and highly prosodic speech equipped with accurate text transcriptions and rich textual expressiveness annotations. |
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[Demos](https://goarsenal.github.io/StoryTTS/) |
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[More Info](https://github.com/X-LANCE/StoryTTS) |
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## File Description |
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* `StoryTTS.zip`: The audio data of StoryTTS. |
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* `transcript` : The transcripts of StoryTTS in simplified Chinese with puncuations. |
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## Note |
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* The dataset is **ONLY** for research purposes. |
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* The ownership of the speech data remains with the original owner. Downloading this dataset defaults to agreeing to sign our [licensing agreement](https://github.com/X-LANCE/StoryTTS/blob/main/storytts_license_agreement.pdf). lt's important to note that these materials may be removed at any time upon request from the original owner. |
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## Citation |
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``` |
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@inproceedings{storytts, |
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author={Sen Liu and Yiwei Guo and Xie Chen and Kai Yu}, |
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title={{StoryTTS: A Highly Expressive Text-to-Speech Dataset with Rich Textual Expressiveness Annotations}}, |
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year={2024}, |
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booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
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pages={11521-11525}, |
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doi={10.1109/ICASSP48485.2024.10446023} |
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} |
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``` |
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