BRYTSERC: Bangla Realistic YouTube Speech Emotion Recognition Corpus

<b>BRYTSERC</b> is a realistic Bangla speech emotion dataset collected from publicly available YouTube videos. It contains authentic emotional expressions across diverse speakers, genders, and accents. The dataset includes 5215 audio clips labeled with emotions as follows: Happy, Sad, Anger, Surprise, Fear, Disgust, and Neutral.Designed for <b>speech emotion recognition researc</b>h, BRYTSERC supports training and evaluation of SER models in the Bangla language.<br><br><b>Copyright &amp; Licensing Notice</b>This dataset involves third-party content. To ensure compliance with international copyright standards, the following terms apply:<b>Original Content:</b> The copyright for the underlying audio remains with the original content creators or respective rightsholders. The authors of BRYTSERC make no claim of ownership over the source audiovisual material.<b>License:</b> The curation, annotations, metadata, organizational structure, and documentation of this dataset are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License. This license applies exclusively to these elements and does not extend to the underlying audio content.<b>Third-Party Terms:</b> Use of this dataset is subject to the YouTube Terms of Service. Users are advised to review the YouTube Terms of Service prior to any use or redistribution of audio content derived from this dataset. Users are solely responsible for ensuring that their downstream use of the audio complies with applicable copyright laws and the original creators' rights.<b>Permitted Use:</b> This dataset is provided for non-commercial academic and educational research purposes only. Any commercial exploitation of the source audio is not permitted under the terms of this dataset release and may require separate licensing from the original rightsholders.<b>No Warranty:</b> This dataset is provided "as is" without warranty of any kind. The authors accept no responsibility for any legal claims arising from downstream use of the audio content.