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
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Overview of the peaks dectection algorithms available in Python
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.
A Machine Learning Approach of Emotional Model
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)
Simulate optical communications systems 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.
👁️ 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
Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mod…
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