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Research
Arabelle Hou edited this page Sep 30, 2017
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Automatic Speaker Diaratization using Machine Learning Techniques - Trained 3 models (k-means, SVM, DNN), recommendation for SVM, deeper DNN and RNN.
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STFT: Short Time Fourier Transform using Tensorflow - Windowing of audio sample, applying FFT to segments (Tensorflow implementation here).
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End-to-End Speaker Verification - Use of i-vectors and d-vectors as inputs to DNN.
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Unsupervised Methods for Speaker Diarization. (Viewable through UBC network)
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Speaker Recognition - CSCE 689-604: Special Topics in Speech Processing.