SASPEECH
Identifier: SLR134
Summary: Hebrew speech and transcripts by a single speaker (30 hours)
Category: Speech
License: Custom non-commercial (See README)
Downloads (use a mirror closer to you):
saspeech_gold_standard_v1.0.tar.gz [error getting size] ( Gold-standard subset (manual transcripts) - 4h
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saspeech_automatic_data_v1.0.tar.gz [error getting size] ( Automatic subset (automated transcripts) - 26h
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README.auto.md [4.9K] ( Readme for the automatic subset
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README.gold.md [5.4K] ( Readme for the gold-standard subset
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About this resource:
This dataset contains approximately 30 hours of audio spoken by Shaul Amsterdamski in a recording studio at 44100Hz with corresponding transcriptions.
The data is divided into a gold-standard subset of roughly 4 hours with manual transcriptions and an automatic subset with machine-generated transcriptions.
See README files inside the archives for more details.
The dataset was originally published as part of the robo-shaul competition with this license agreement (Hebrew-only). The license is also provided with the dataset archives in the file robo_shaul_terms.pdf. In case of conflict between the attached license and the version available online, the online version takes precedence.
A summary of the terms in English:
Copyright for the recordings and corresponding transcriptions is owned solely by the Israeli Public Broadcast Corporation, the IPBC.
The dataset is free for use for non-commercial purposes, under the following limitations, whether by positive act or by omission:
- You may not present your use of the Dataset in a way that suggests that the IPBC supports or endorses you or your use of the Dataset
- You may not make use of the Dataset in a manner that brings harm to Shaul Amsterdamski and/or the IPBC, including defamation
- You may not make use of the Dataset for commercial or broadcast needs
- You may not make use of the Dataset for political needs
- You may not make use of the Dataset in a manner that breaches any applicable law
You can cite the data using the following BibTeX entry:
@inproceedings{sharoni23_interspeech, author={Orian Sharoni and Roee Shenberg and Erica Cooper}, title={{SASPEECH: A Hebrew Single Speaker Dataset for Text To Speech and Voice Conversion}}, year=2023, booktitle={Proc. Interspeech 2023}, pages={To Appear} }