This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The activities of the project include gathering a diverse dataset of audio samples representing various types of mobile ringtones. Traditional machine learning methods and transformer models will be used to learn patterns from audio signals and classify ringtones into predefined categories (e.g., default ringtones, custom ringtones, specific genres).
Required knowledge
- Python programming
- Machine learning background
- Audio analysis
Similar Positions
-
Pawsey Supercomputing Centre Summer Internships, CSIRO, Australia, 32 minutes ago
Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection ...
-
Defence And National Security Fellow, RMIT UNIVERSITY, Australia, about 1 hour ago
Ongoing appointment available at Academic Level B, C, or D, with remuneration and benefits commensurate with the skills, qualifications, and experience of the successful candidate Based at the Cit...
-
Technical Officer, La Trobe University, Australia, 6 days ago
Full time Continuing Bundoora Campus Career progression and support About the position This position falls within the Facilities and Technical Services (FTS) team in Science, primarily supporting ...
-
Director, Clinical Trials Hub, Deakin University, Australia, about 10 hours ago
Apply now Job no:574552 Work type:Full-time Location:Geelong - City, Melbourne - Burwood Categories:Health Foster collaboration across internal and external partners to deliver high-quality and et...
-
Epmo Finance Lead, Swinburne University of Technology, Australia, about 16 hours ago
Prime opportunity for an experienced Finance Lead to join our ePMO team. Ongoing, full-time position based in a central Hawthorn location. HEW 8 + 17% Super. Staff benefits include hybrid work and...
-
Curriculum Implementation Coordinator, Swinburne University of Technology, Australia, 17 days ago
Excellent opportunity within Student Administration Full-time, ongoing position at our Hawthorn campus HEW Level 7+ 17% super and attractive staff benefits About the Role In this role, you’ll driv...