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15 search results found
Audiomentations
⭐
1,605
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
Torch Audiomentations
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823
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
Cmsis Dsp
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348
CMSIS-DSP embedded compute library for Cortex-M and Cortex-A
Audio Development Tools
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165
This is a list of sound, audio and music development tools which contains machine learning, audio generation, audio signal processing, sound synthesis, spatial audio, music information retrieval, music generation, speech recognition, speech synthesis, singing voice synthesis and more.
Spleeterrt
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75
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Zounds
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17
Zounds is a dataflow library for building directed acyclic graphs that transform audio. It uses the featureflow library to define the processing pipelines.
Audio_noise_clustering
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16
https://dodiku.github.io/audio_noise_clustering/re ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.
Topicsinaudioandmusictech
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15
Topics in Audio Processing & Music Technology
Rnnoise_wrapper
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15
A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.
Glaucus
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9
Glaucus is a PyTorch complex-valued ML autoencoder & RF estimation python module.
Digital Audio Signal Processing And Machine Learning Tutorials
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7
Digital Audio Signal Processing and Machine Learning Tutorials
Bsuir
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6
🎓Repository for masters labs on FCSN, BSUIR
Musicgenreclassifiaction
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6
Content-based Music Genre Classification
Automatic_speaker_recognition
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6
A repos for USTH Digital Signal Processing 2020 Group 3 project. It's quite obvious in the title.
Fast Audiomentations
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6
⚡ Blazing fast audio augmentation in Python, powered by GPU for high-efficiency processing in machine learning and audio analysis tasks.
Seed
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5
Digital Multi-Effect Pedal with Reverb, Delay, Tremolo, Looper, and Neural Networks for Amp Modeling
Gamut
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5
High-level, user-friendly granular audio musaicing toolkit implemented in Python.
Kapitanov.github.io
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5
CV. Kapitanov Alexander. Deep Learning Engineer, Ex. Lead FPGA developer.
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