Audio Discrimination Crowdsourcing Platform
Amusat Haki Adeyemi
Empowering Audio Research
I developed a web platform to facilitate audio discrimination research. This platform enables researchers to collect valuable subjective data by crowdsourcing audio evaluations.
How it Works:
Task Creation: Researchers define specific audio discrimination tasks, including instructions, audio files, and annotation options.
User Participation: Users are presented with audio samples and asked to make judgments based on various criteria, such as sound quality, clarity, or similarity.
Data Collection: User responses are collected and stored for analysis.
Quality Control: Built-in quality control measures ensure data accuracy and reliability.
Key Features:
Flexible Task Design: Create diverse audio discrimination tasks to suit various research needs.
User-Friendly Interface: A simple and intuitive interface for easy user interaction.
Robust Data Collection: Efficiently collect and store large amounts of audio data.
Advanced Analytics: Analyze collected data to gain insights into audio perception and preferences.
By providing a reliable and scalable platform for audio research, I'm contributing to the advancement of audio technology and improving the overall listening experience.
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Posted Dec 18, 2024
Audio Discrimination Crowdsourcing Platform. Collect subjective audio data. Open-source project. Built for audio researchers. Improve audio quality and percepti
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