Python package for Singular Spectrum Analysis
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Updated
Jul 3, 2023 - TeX
Python package for Singular Spectrum Analysis
Bachelor Final Year Project exploring real-time speech denoising using machine learning. Compares classical methods (SS, WF, MMSE-LSA) with 5 deep models on spectrogram data, highlighting Conv-TasNet’s effectiveness. Features dataset bucketing, OOM mitigation, and batch evaluation.
An initial review of the journal article related to Automatic Tuning of Parameters in Denoising Algorithms
research details
Official document that explains the implementation of the automatic annotator to classify voice segments according the intonation system of Cuba.
Master's Thesis: Denoising Methods for Multi-Dimensional Photoemission Spectroscopy
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