Optimization of data-driven filterbank for automatic speaker verification

@article{Sarangi2020OptimizationOD,
  title={Optimization of data-driven filterbank for automatic speaker verification},
  author={Susanta Kumar Sarangi and Md. Sahidullah and Goutam Saha},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.10729}
}
Abstract Most of the speech processing applications use triangular filters spaced in mel-scale for feature extraction. In this paper, we propose a new data-driven filter design method which optimizes filter parameters from a given speech data. First, we introduce a frame-selection based approach for developing speech-signal-based frequency warping scale. Then, we propose a new method for computing the filter frequency responses by using principal component analysis (PCA). The main advantage of… Expand
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