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Speech detection using Haar - like filtering is proposed as a new and very low calculation cost method for sensornet applications. The simple Haar - like filters having variable filter width and shift width are trained to learn appropriate filter parameters from the training samples to detect speech. To further decrease the calculation cost, the use of intermediate signal representation called ldquointegral...
Haar-like filtering based speech detection is proposed as a new and very low calculation cost method for sensornet applications. The simple Haar-like filters having variable filter width and shift width are trained to learn appropriate filter parameters from the training samples to detect speech. Our method yielded speech/nonspeech classification accuracy of 96.93% for the input length of 0.1s. Compared...
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