EMO
The EMO dataset is a high-quality, paired audio corpus specifically developed to support research in vocal timbral technique conversion, with a primary focus on the vocal fry scream. It was created to address the significant scarcity of paired data for extreme vo
The EMO dataset is a high-quality, paired audio corpus specifically developed to support research in vocal timbral technique conversion, with a primary focus on the vocal fry scream. It was created to address the significant scarcity of paired data for extreme vocalizations in the research community.
Key Dataset Features:
Content: A total of 1040 high-quality clips consisting of 520 modal voice and 520 vocal fry scream pairs.
Duration: Approximately 42 min.
Source: Recorded by a single professional metal singer.
Languages: Includes vocalizations in both Chinese and English.
Alignment: All clips were manually aligned within a Digital Audio Workstation to ensure precise temporal consistency between the modal and scream pairs.
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Files are hosted on the source repository. Click download to access the full dataset.