[
  {
    "path": "LICENSE",
    "content": "MIT License\n\nCopyright (c) 2020 HLTSingapore\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n"
  },
  {
    "path": "README.md",
    "content": "# Publicly Available Emotional Speech Dataset (ESD) for Speech Synthesis and Voice Conversion\nThis is the GitHub page for publicly available emotional speech dataset (ESD) for speech synthesis and voice conversion.\n\nThis dataset contains 350 parallel utterances spoken by 10 native Mandarin speakers, and 10 English speakers with 5 emotional states (neutral, happy, angry, sad and surprise). The transcripts are provided.\n\n# License\nPlease complete a [License](https://drive.google.com/file/d/1Q1Wa45u-ymzpUO3_U-y8yisn4f5PlDIK/view?usp=sharing) and send it to zhoukun@u.nus.edu. This database can only be used for research purpose.\n\n# Download \nThe whole dataset can be downloaded here: [Google Drive](https://drive.google.com/file/d/1scuFwqh8s7KIYAfZW1Eu6088ZAK2SI-v/view?usp=sharing)\n\n\nNote: For users from mainland China, google drive cannot be accessed. Please send an email to zhoukun@u.nus.edu. We will share this dataset with you through other platforms.\n\n# Paper\nIf you are using this dataset, please kindly cite this [paper](https://www.sciencedirect.com/science/article/pii/S0167639321001308):\n```\n@inproceedings{zhou2021seen,\n  title={Seen and unseen emotional style transfer for voice conversion with a new emotional speech dataset},\n  author={Zhou, Kun and Sisman, Berrak and Liu, Rui and Li, Haizhou},\n  booktitle={ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\n  pages={920--924},\n  year={2021},\n  organization={IEEE}\n}\n@article{zhou2021emotional,\ntitle = {Emotional voice conversion: Theory, databases and ESD},\njournal = {Speech Communication},\nvolume = {137},\npages = {1-18},\nyear = {2022},\nissn = {0167-6393}\n}\n```\n\n"
  }
]