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Efficient-Learning-Free-Keyword-Spotting

Implementation of the method presented at "Efficient Learning-Free Keyword Spotting" (https://ieeexplore.ieee.org/abstract/document/8378004/)

A method for KWS, consisted of three steps:

  1. Preprocessing (contrast and main-zone normalization)
  2. Feature extraction (projections of Oriented Gradients - POG) over image zones
  3. Matching sequences of descriptors with dynamic programming

Implementation Highlights:

  • Implemented using Matlab 2015a (possible compatibility issues for other versions).
  • Feature extraction is using multiple threads (Matlab's parfor).
  • The matching algorithm is implemented in C (inner_valid_seq_multi.c) and was compiled via mex for Linux arch64. For different architecture re-compile the mathing algorithm: mex inner_valid_seq_multi.c
  • The dataloaders for both the datasets of ICFHR 2014 Keyword Spotting Competition are provided (Bentham14 & Modern14).
  • 3 methods are supported:
    1. 'Global' : simple holistic POG descriptor
    2. 'GlobalZoned' : use POG descriptor over zones across the word image
    3. 'Sequential': the proposed method using the sequential matching. The multi instance case, decribed at the manuscript, is also supported.