MixGenius works on automated musical production by real-time musical genre detection. High accuracy of genre detection for a variety of sub-genres is required for quality production and has yet to be achieved. The project involves researching available real-time high-accuracy musical genre detection methods and improving upon them, extracting each genre’s audio features, calibrating the algorithm with a database of songs of different genres, testing them with other songs of the same genres and repeating the process as needed to improve detection accuracy.
The advantages of digital data (signal functions) processing have made this technique a standard for processing real world analog data in many areas of life, from music industry to seismology. Stored digitally, the data also become less sensitive to physical limitations than their analog counterparts. Other advantages include straightforward low frequency filtering procedures (e.g. as required in seismology, oceanography and other environmental monitoring), as well as frequency bounding (e.g. in telecommunications, sending large bandwidth signals over a narrow bandwidth).
“I was inspired by one of my colleagues at university who was part of the program last year and now promotes it in India. I was lucky enough to be selected to come here to Canada for research into leukemia in children.”
Manish is about to begin his final year of studies for a Bachelor of Technology degree with a major in Biotechnology and a minor in Computer Science at the Indian Institute of Technology Guwahati.
This project seeks to develop new methods for imaging oxidative and vascular function in the brain. The methods under development are based on widely available MRI hardware, which will make them feasible for use in future clinical drug trials, an application that is of interest to the partner organization CQDM. Before the approach is ready for commercial application, a number of methodological issues must be addressed to achieve optimal sensitivity, specificity, and tolerability in patients.
State-of-the-art computer graphics technology allows for the generation of images and animations that border on photo-realistic quality; however, this level of fidelity is often reserved for feature-film productions where the time budget is much more flexible.
In recent years, the interest given to disease biomarkers has boomed. Biotechnology and pharmaceutical companies are exploring ways to use biomarkers to speed up the drug development process, as well as to rapidly assess diseases state, staging, progression and response to therapy. Multiple reaction monitoring (MRM) Mass Spectrometry (MS) has been shown to be well suited for the selective and sensitive quantification of proteins in plasma and has recently emerged as the technology of choice for disease biomarker study.
Together, the students and their professor developed a system to visualize the evolution of a software program from its first inception to the latest edition. The system provides useful information to software engineers and designers as they continually advance computer software packages to be faster and more user-friendly for new computer operating systems.