Valentina Franzoni, Giulio Biondi, Alfredo Milani

Crowds express emotions as a collective individual, which is evident from the sounds that a crowd produces in particular events, e.g., collective booing, laughing or cheering in sports matches, movies, theaters, concerts, political demonstrations, and riots. Crowd sounds can be characterized by frequency-amplitude features, using analysis techniques similar to those applied on individual voices, where deep learning classification is applied to spectrogram images derived by sound transformations.

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Documentation: 
[1] Valentina Franzoni, Giulio Biondi, Alfredo Milani, "Emotional Crowd Sound", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/xxwy-5869. Accessed: May. 19, 2024.
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doi = {10.21227/xxwy-5869},
url = {http://dx.doi.org/10.21227/xxwy-5869},
author = {Valentina Franzoni; Giulio Biondi; Alfredo Milani },
publisher = {IEEE Dataport},
title = {Emotional Crowd Sound},
year = {2021} }
TY - DATA
T1 - Emotional Crowd Sound
AU - Valentina Franzoni; Giulio Biondi; Alfredo Milani
PY - 2021
PB - IEEE Dataport
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Valentina Franzoni, Giulio Biondi, Alfredo Milani. (2021). Emotional Crowd Sound. IEEE Dataport. http://dx.doi.org/10.21227/xxwy-5869
Valentina Franzoni, Giulio Biondi, Alfredo Milani, 2021. Emotional Crowd Sound. Available at: http://dx.doi.org/10.21227/xxwy-5869.
Valentina Franzoni, Giulio Biondi, Alfredo Milani. (2021). "Emotional Crowd Sound." Web.
1. Valentina Franzoni, Giulio Biondi, Alfredo Milani. Emotional Crowd Sound [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/xxwy-5869
Valentina Franzoni, Giulio Biondi, Alfredo Milani. "Emotional Crowd Sound." doi: 10.21227/xxwy-5869