Deep Learning for Security and Edge Computing

Deep Learning for Security and Edge Computing

Artificial Intelligence, Internet of Things, Intel RealSenseā„¢

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Description

Speech Recognition using Deep Learning is advancing outperforming the traditional Speech Recognition methods. The usage of Deep Neural Networks demonstrated unbelievable accuracy rates when compared to the Gaussian Mixture Models and Hidden Markov Models. Deep Learning can be applied to Automatic Speaker Recognition for identification, authentication and other security assessments. Deep Learning can be applied to spoofing detection to prevent imposters and intruders from breaking into the system especially from the IoT perspective and FPGA cloud based applications where there is minimal security and a lot has to be done and achieved.

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Standard deep learning for speech recognition

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Sai Kiran K. created project Deep Learning for Security and Edge Computing

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Deep Learning for Security and Edge Computing

Speech Recognition using Deep Learning is advancing outperforming the traditional Speech Recognition methods. The usage of Deep Neural Networks demonstrated unbelievable accuracy rates when compared to the Gaussian Mixture Models and Hidden Markov Models. Deep Learning can be applied to Automatic Speaker Recognition for identification, authentication and other security assessments. Deep Learning can be applied to spoofing detection to prevent imposters and intruders from breaking into the system especially from the IoT perspective and FPGA cloud based applications where there is minimal security and a lot has to be done and achieved.

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