Sample libraries for virtual musical instruments provide highly realistic sound reproductions, but their size can quickly become a challenge in terms of storage and performance. The goal of this internship is to develop innovative analysis-synthesis methods to significantly reduce the size of these sample libraries while maintaining high audio quality. You will join the digital signal processing (DSP) team and will work on advanced signal processing techniques to optimize the storage and playback of audio samples, contributing to better virtual instruments. Additionally, research on methods to reach highly expressive sample-based instruments will be encouraged.

In this internship, you will be tasked with:

• Developing methods to analyze audio samples and extract essential sound characteristics.

• Designing synthesis algorithms to reconstruct the original sound from a reduced set of parameters and a partial set of the sample library.

• Exploring and implementing advanced techniques, such as spectral modeling, additive/subtractive synthesis to minimize the need for large samples while preserving high sound fidelity.

• Comparing the performance and sound quality of the developed methods against traditional sample compression approaches.

• Share findings with the dsp team

• Final year student pursuing a degree in engineering, signal processing, acoustics, or computer science applied to music.

• Solid knowledge of digital signal processing and analysis-synthesis methods.

• Programming skills : C++, Python.

• Good level of English

• Passion for audio technology and music