SincNet is a neural architecture for efficiently processing raw audio samples.
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Updated
Apr 28, 2021 - Python
SincNet is a neural architecture for efficiently processing raw audio samples.
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
Digital Signal Processing - Theory and Computational Examples
Overview of the peaks dectection algorithms available in Python
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
A python wrapper for Speech Signal Processing Toolkit (SPTK).
Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.
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Large collection of number systems providing custom arithmetic and mixed-precision algorithms for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
Python package for data processing and analysis
🔉 Collected C++ implementations of the classic 4-pole moog ladder filter
Implement Digital Signal Processing (DSP) systems and create audio applications using high performance and energy-efficient Arm processors
Control adaptive filters with neural networks.
ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
A cross-platform DSP library written in C++ 11/14. This library harnesses the power of C++ templates to implement a complete set of DSP algorithms.
Simulate optical communications systems with Python.
👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.
A shazam like tool to store songs fingerprints and retrieve them
Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
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