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Weighted Spatial Covariance Matrix Estimation for MUSIC based TDOA Estimation of Speech Source

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WSCM-MUSIC

Weighted Spatial Covariance Matrix Estimation for MUSIC based TDOA Estimation of Speech Source

Please cite:

Chenglin Xu, Xiong Xiao, Sining Sun, Wei Rao, Eng Siong Chng, and Haizhou Li. "Weighted Spatial Covariance Matrix Estimation for MUSIC based TDOA Estimation of Speech Source." Proc. Interspeech 2017 (2017): 1894-1898.

How to use:

  1. Unzip the nnet/nnet.mat.7z.001

    Use the command: 7z e nnet/nnet.mat.7z.001

  2. Add "SignalGraph" toolbox in the matlab path

    Clone the SignalGraph: git clone https://github.com/singaxiong/SignalGraph.git

    Change matlab workplace to SignalGraph folder and run: AddMyPath

    If you want to use gpu, run: gpuDevice()

  3. Run: [eTDOA, eDOA] = evalSCMTDOA_music('./data')

Licence

The code and models in this repository are licensed under the GNU General Public License Version 3.

Citation

If you would like to cite, use this :

@inproceedings{xu2017weighted,
  title={Weighted Spatial Covariance Matrix Estimation for MUSIC Based TDOA Estimation of Speech Source.},
  author={Xu, Chenglin and Xiao, Xiong and Sun, Sining and Rao, Wei and Chng, Eng Siong and Li, Haizhou},
  booktitle={Proc. of INTERSPEECH},
  pages={1894--1898},
  year={2017}
}
Open Source Agenda is not affiliated with "WSCM MUSIC" Project. README Source: xuchenglin28/WSCM-MUSIC
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