audio signal processing, blind source separation, machine learning
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Nanjing University
- Nanjing
- https://scholar.google.com.sg/citations?user=sCaymZsAAAAJ&hl=en
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maximum-likelihood-DOA-estimation-method-in-the-spherical-harmonic-domain
maximum-likelihood-DOA-estimation-method-in-the-spherical-harmonic-domain PublicA maximum likelihood direction of arrival estimation method for open-sphere microphone arrays in the spherical harmonic domain
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overiva
overiva PublicForked from onolab-tmu/overiva
Code to do blind source separation with more microphones than sources using auxilliary based independent vector analysis.
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piva
piva PublicForked from fakufaku/piva
Performance-oriented implementation of independent vector analysis for blind source separation.
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pyroomacoustics
pyroomacoustics PublicForked from LCAV/pyroomacoustics
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Python
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