Agustinus Bimo Gumelar, Derry Pramono Adi, Andreas Agung Kristanto

The Human voice Natural Language from On-demand media (HENLO) dataset is a high-quality emotional speech dataset created to address the need for representative and realistic data in speech emotion recognition research. Unlike many existing datasets, which rely on simulated emotions performed by untrained speakers or directed participants, HENLO sources its data from professionally produced films and podcasts available on Media On-Demand (MOD).

Dataset Files

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Documentation: 
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[1] Agustinus Bimo Gumelar, Derry Pramono Adi, Andreas Agung Kristanto, "HENLO: Human voice Natural Language from On-demand media", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/m0w3-nz08. Accessed: Apr. 19, 2025.
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doi = {10.21227/m0w3-nz08},
url = {http://dx.doi.org/10.21227/m0w3-nz08},
author = {Agustinus Bimo Gumelar; Derry Pramono Adi; Andreas Agung Kristanto },
publisher = {IEEE Dataport},
title = {HENLO: Human voice Natural Language from On-demand media},
year = {2024} }
TY - DATA
T1 - HENLO: Human voice Natural Language from On-demand media
AU - Agustinus Bimo Gumelar; Derry Pramono Adi; Andreas Agung Kristanto
PY - 2024
PB - IEEE Dataport
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Agustinus Bimo Gumelar, Derry Pramono Adi, Andreas Agung Kristanto. (2024). HENLO: Human voice Natural Language from On-demand media. IEEE Dataport. http://dx.doi.org/10.21227/m0w3-nz08
Agustinus Bimo Gumelar, Derry Pramono Adi, Andreas Agung Kristanto, 2024. HENLO: Human voice Natural Language from On-demand media. Available at: http://dx.doi.org/10.21227/m0w3-nz08.
Agustinus Bimo Gumelar, Derry Pramono Adi, Andreas Agung Kristanto. (2024). "HENLO: Human voice Natural Language from On-demand media." Web.
1. Agustinus Bimo Gumelar, Derry Pramono Adi, Andreas Agung Kristanto. HENLO: Human voice Natural Language from On-demand media [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/m0w3-nz08
Agustinus Bimo Gumelar, Derry Pramono Adi, Andreas Agung Kristanto. "HENLO: Human voice Natural Language from On-demand media." doi: 10.21227/m0w3-nz08