Academic interests
AMBIENT project
Thesis (working) title: Machine Synchresis: Investigating Immersive Audio-Visual Rhythms and Environments with Multi-Modal Information Retrieval
Background
- M.Mus in Music Technology, Steinhardt School, New York University, New York, NY, USA
- B.Sc in Information Engineering, Department of Electronic and Electric Engineering, Southern University of Science and Technology, Shenzhen, China
Tags:
Music Information Retrieval,
Machine Learning,
Multimodal Learning,
Neural Audio Synthesis
Publications
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Riaz, Maham; Guo, Jinyue; Serdar Göksülük, Bilge & Jensenius, Alexander Refsum
(2025).
Where is That Bird? The Impact of Artificial Birdsong in Public
Indoor Environments.
In Seiça, Mariana & Wirfs-Brock, Jordan (Ed.),
AM '25: Proceedings of the 20th International Audio Mostly Conference.
.
ISSN 979-8-4007-0818-3.
Show summary
This paper explores the effects of nature sounds, specifically bird sounds, on human experience and behavior in indoor public environments. We report on an intervention study where we introduced an interactive sound device to alter the soundscape. Phenomenological observations and a survey showed that participants noticed and engaged with the bird sounds primarily through causal listening; that is, they attempted to identify the sound source. Participants generally responded positively to the bird sounds, appreciating the calmness and surprise it brought to the environment. The analyses revealed that relative loudness was a key factor influencing the experience. A too-high sound level may feel unpleasant, while a too-low sound level makes it unnoticeable due to background noise. These findings highlight the importance of automatic level adjustments and considering acoustic conditions in soundscape interventions. Our study contributes to a broader discourse on sound perception, human interaction with sonic spaces, and the potential of auditory design in public indoor environments.
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Riaz, Maham; Guo, Jinyue & Jensenius, Alexander Refsum
(2024).
.
In Brooks, Anthony L. (Eds.),
Proceedings of the 13th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2024.
.
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Guo, Jinyue; Riaz, Maham & Jensenius, Alexander Refsum
(2024).
Comparing Four 360-Degree Cameras for Spatial Video Recording and Analysis,
Proceedings of the Sound and Music Computing Conference 2024.
SMC Network.
ISSN 2518-3672.
Show summary
This paper reports on a desktop investigation and a lab experiment comparing the video recording capabilities of four commercially available 360-degree cameras: GoPro MAX, Insta360 X3, Garmin VIRB 360, and Ricoh Theta S. The four cameras all use different recording formats and settings and have varying video quality and software support. This makes it difficult to conduct analyses and compare between devices. We have implemented new functions in the Musical Gestures Toolbox (MGT) for reading and merging files from the different platforms. Using the capabilities of FFmpeg, we have also made a new function for converting between different 360-degree video projections and formats. This allows (music) researchers to exploit 360-degree video recordings using regular video-based analysis pipelines.
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Guo, Jinyue; Christodoulou, Anna-Maria; Laczko, Balint & Glette, Kyrre
(2024).
LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search.
In Li, Xiaodong & Handl, Julia (Ed.),
GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion.
.
ISSN 979-8-4007-0495-6.
p. 667–670.
doi: .
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Guo, Jinyue & McFee, Brian
(2023).
Automatic Recognition of Cascaded Guitar Effects.
In Serafin, Stefania; Fontana, Federico & Willemsen, Silvin (Ed.),
Proceedings of the 26th International Conference on Digital Audio Effects.
Aalborg University Copenhagen.
ISSN 2413-6700.
p. 189–195.
doi: .
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Guo, Jinyue
(2024).
Comparing Four 360-Degree Cameras for Spatial Video Recording and Analysis.
-
Guo, Jinyue
(2023).
Automatic Recognition of Cascaded Guitar Effects.
Published
Jan. 31, 2023 4:15 PM
- Last modified
Mar. 3, 2025 12:47 PM