NYUSH Senior Thesis

Human Vocal Sentiment Analysis

Paper: https://arxiv.org/abs/1905.08632

Make directory datasets and put datasets there for any referencing code

Schedule:

You will be asked to submit the following deliverables during the semester: Final report & Poster - May 12th Presentation (Undergraduate Research Seminar) - May 18th

TODO: TESS: https://drive.google.com/open?id=17Dhltv7HzNMbWryYnofgNjSgNCu9B9yf

Decide on which models to use. https://www.google.com/search?ei=VLeQXJmEAqHdmAW-66_oCw&q=thayer+arousal+model+emotion+classificaition&oq=thayer+arousal+model+emotion+classificaition&gs_l=psy-ab.3..33i160.1382.7325..7541...2.0..0.227.2784.11j14j1......0....1..gws-wiz.......0i71j0i22i30j33i22i29i30j33i299.N1Mgh9SO7yM

Request for Dataset: https://diuf.unifr.ch/main/diva/recola/download.html

Berin Dataset: http://emodb.bilderbar.info/index-1024.html

https://sail.usc.edu/iemocap/

http://emodb.bilderbar.info/index-1024.html (german)

MOUD: Multimodal Opinion Utterances DatasetThis is a collection of video reviews, segmented at utterance level, transcribed, and annotated for sentiment. Acoustic and visual features, automatically extracted, are also included. download (large file, over 500M) (August 15, 2013). Veronica Perez-Rosas, Rada Mihalcea, and Louis-Philippe Morency Utterance-Level Multimodal Sentiment Analysis, in Proceedings of the Association for Computational Linguistics (ACL 2013), Sofia, Bulgaria, 2013.