In applications such as audio denoising, music transcription, music remixing, and audio-based forensics, it is desirable to decompose a single-channel recording into its respective sources. To perform such tasks, we present ISSE - an interactive source separation editor (pronounced "ice") to perform source separation by painting on time-frequency visualizations of sound. For a better idea of what you can do with ISSE, please see our website at http://isse.sourceforge.net.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- URL: Project Homepage
- Supported Operating Systems: Linux, Windows, Os X
- Data Formats: Wav, Isse
- Tags: Matrix Factorization, Audio, Interactive Machine Learning, Latent Variable Model, Mixture Model, Sound, Source Separation
- Archive: download here
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