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Wake-Up-Word Keyword Spotting implemented in Keras

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keyword-spotting

Wake-Up-Word Keyword Spotting implemented in Keras

Reference: Sainath, T. N., & Parada, C. (2015). Convolutional neural networks for small-footprint keyword spotting. In Sixteenth Annual Conference of the International Speech Communication Association paper

data: WSJ and LibriSpeech Corpus
features: 32 dimensional log filterbank generated using HTK Toolkit
labels: labels are force aligned using ASR Model built using Kaldi's WSJ recipe.

Work was done at Learning and Extraction of Acoustic Pattern Lab, IISc under the guidance of Prof. Sriram Ganapathy

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Wake-Up-Word Keyword Spotting implemented in Keras


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