UISketch: A Large-Scale Dataset of UI Element Sketches

Pandian, Vinoth Pandian Sermuga; Suleri, Sarah; Jarke, Matthias

doi:10.1145/3411764.3445784

Cited by 6 publications

(1 citation statement)

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“…However, this does not exploit the full potential of 3D audio to create immersive sound designs. Our proposal to solve this problem is to add further functionality by allowing users to customize their input audio signal's 3D position with an interactive UI element [15]. This will allow the users to dictate where they want the audio source to sound like they come from, allowing them to customize the 3D audio experience.…”

Section: The Customization Of the Output Signalmentioning

confidence: 99%

An Context-Aware Intelligent System to Automate the Conversion of 2D Audio to 3D Audio using Signal Processing and Machine Learning

Gao¹,

Sun²

2022

Artificial Intelligence and Fuzzy Logic System

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As virtual reality technologies emerge, the ability to create immersive experiences visually drastically improved [1]. However, in order to accompany the visual immersion, audio must also become more immersive [2]. This is where 3D audio comes in. 3D audio allows for the simulation of sounds from specific directions, allowing a more realistic feeling [3]. At the present moment, there lacks sufficient tools for users to design immersive audio experiences that fully exploit the abilities of 3D audio. This paper proposes and implements the following systems [4]: 1. Automatic separation of stems from the incoming audio file, or letting the user upload the stems themselves 2. A simulated environment in which the separated stems will be automatically placed in 3. A user interface in order to manipulate the simulated positions of the separated stems. We applied our application to a few selected audio files in order to conduct a qualitative evaluation of our approach. The results show that our approach was able to successfully separate the stems and simulate a dimensional sound effect.

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Section: The Customization Of the Output Signalmentioning

confidence: 99%