Search Results for "dsp"

...AIMET enables neural networks to run more efficiently on fixed-point AI hardware accelerators. Quantized inference is significantly faster than floating point inference. For example, models that we’ve run on the Qualcomm® Hexagon™ DSP rather than on the Qualcomm® Kryo™ CPU have resulted in a 5x to 15x speedup. Plus, an 8-bit model also has a 4x smaller memory footprint relative to a 32-bit model. However, often when quantizing a machine learning model (e.g., from 32-bit floating point to an 8-bit fixed point value), the model accuracy is sacrificed.

...Audio clips can have arbitrary channel counts, and can be queued for streaming or dynamic music. CA contains a very simple embedded VM for running custom signal processors, allowing you to add custom DSP code (currently assembly language only) without compiling native code. Errors are reported using well-documented negative return codes, and CA attempts to handle expected errors gracefully.

GUI for easier installation and training of neural network models for guitar amplifiers and pedals, based on the GuitarML Proteus models. These are usable for Proteus, Chowdhury-DSP BYOD and even NeuralPi, on all platforms incl. Linux and RaspberryPi. What is this? GuitarML's work on Proteus, NeuralPi and Proteusboard (hardware) is amazing. https://github.com/GuitarML Yet, it is not easy to wrap your head around if you are not familiar with programming, AI, machine learning, neuronal networks. So, Keith Bloemer a.k.a. ...

Tiny-DSP library contains c sources of a fast, tiny, portable and generic FFT (Fast Fourier transform) and inverse FFT. Supported are all power of two sizes (like 2,4,8,16,32,...) for one and two dimensional floating point arrays.