Expected duration: less than 1 week I'm seeking an expert in AI and audio processing who can help me tailor the Librosa library to meet specific needs. I want to adjust how we handle audio data, refine our feature extraction parameters, and modify file handling methods.
Key Tasks: - Customizing audio processing algorithms: Specifically, I need assistance with time-stretching, pitch-shifting, beat tracking, and sound track separation from a music file. - Tweaking feature extraction parameters: The Mel-frequency cepstral coefficients (MFCC), Chromagram, and Spectral contrast need to be tailored to suit this project. - Customizing file handling methods: I want to change how the library interacts with our audio files.
Ideal skill set includes: - Extensive experience with the Librosa or Similar for Audio Separation library - Background in AI - Proficiency in audio processing - Ability to customize libraries to fit unique project parameters.
Please note, the goal is to utilize our own parameters and change the library's response accordingly. This project requires a deep understanding of audio processing and the ability to creatively adapt the tools at hand.