Month: March 2021

Case Study: Real-time Noise Suppression on Edge Devices Using a Practical AI-based Approach

We’re thrilled to be featured on Arm’s new case study regarding #Ignitarium’s Noise Suppression IP for Arm Cortex-M processors. Ignitarium has come up with a deep learning-based real-time noise suppression software that can run on low-cost microcontrollers. To counter stationary and non-stationary noises, a traditional DSP approach is not sufficient. This requires certain hybrid models including a …

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Deep Learning based Computer Vision System for Automated Tyre Defect Detection

Business photo created by freepik.com As the global manufacturing industry faces the pressures of bringing to market multiple variants of the highest quality products in the shortest possible time, a shift towards AI-driven automation across all functions has become inevitable. In quality inspection, AI-driven computer vision systems are already enabling the streamlining of the production …

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Simulating Real World Audio for Voice Command Engine

Despite the ubiquitous presence of voice assistants in our homes and workplaces, the technological intricacies of how automatic speech recognition works continue to amaze us.  One of the most crucial aspects that determines the accuracy of a good voice assistant is based on testing it in generalized real-world environments, which unfortunately is very difficult to …

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