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Vocal Emotion Corpus Data, Logan Kowallis
Vocal Emotion Corpus Data, Logan Kowallis
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This corpus contains over 50 hours of voice acted readings as part of a dissertation project. These recordings represent one of four emotions or the subject's normal speaking voice. The four emotions acted are: anger, fear, happiness, and sadness. These recordings can be useful for building a simple emotion recognition model. Data were collected from BYU students in 2019. Supporting documents designed for people wanting replicate this project are included in Documents.zip. For more information about these files, read the README file.
All audio files are encoded as 44.1 kHz .wav mono audio. Each subject read the 50-word script multiple …