Are you an audio or speech processing engineer working on product development or DSP algorithms and looking to integrate AI capabilities within your .. Read more projects? In this session you will learn the basics of deep learning for audio applications by walking through a detailed example of speech classification, entirely based on MATLAB code. We will cover creating and accessing labeled data, using time-frequency transformations, extracting features, designing and training deep neural network architectures, and testing prototypes on real-time audio. We will also discuss interoperability with other popular deep learning tools, including exploiting available pre-trained networks. Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
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