Given the recent trends in machine learning and deep learning, we have tried to give a high-level overview of how digital signal processing, machine learning, and deep learning algorithms can go hand-in-hand to categorize or draw inferences from audio signals. Audio-specific neural network models can also be built using signal processing, machine learning, and deep learning (neural networks) algorithms. In this blog will see how to build Intelligent Audio Systems, Audio Feature Extraction using Machine Learning.

In the last few years, the embedded systems we use have undergone a massive transformation

This blog describes practical guidelines for High-Speed embedded hardware designers to enhance technical skills further

If you want to integrate LLDP protocol in your Linux/Embedded system, there are mainly two

Speech and Audio processing both deal with audible data, although the range of frequencies that

Audio processing plays a vital role in embedded media processing. Even though the audio information takes less memory and processing power than the video data, it still is significant enough to be worked upon.

As medical devices are directly connected to patients and have a direct impact on patient’s

Believe it or not but one can start the day by doing Yoga and enjoying

In the current situation of a global pandemic, staying connected is important but also difficult.