librosa
ultimatevocalremovergui
librosa | ultimatevocalremovergui | |
---|---|---|
14 | 82 | |
6,699 | 14,928 | |
1.1% | - | |
7.2 | 8.7 | |
23 days ago | 6 days ago | |
Python | Python | |
ISC License | MIT License |
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librosa
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Open Source Libraries
librosa/librosa: Python library for audio and music analysis
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A Cross-Platform library for audio spectrogram and feature extraction, support mobile real-time computing
How does this compare to mature libraries for other platforms like librosa?
- Precious Advices About AI-supported Audio Classification Model
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What are the common audio feature tool libraries in python?
I use librosa now. What other useful audio feature extraction libraries are there?
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Looking for a program that will examine a folder full of mp3s or flacs and list out ones with lower or higher than average volume
librosa can do that easily but I think there is an easier way to find what are you looking for:
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Get amplitude of every audio frame of .wav
I have a .wav file, and using python, I'd like to get a list of every audio frame where the amplitude is at the resting position. How could I achieve this? I think the librosa library could do such a thing, but I'm struggling to find exactly how to do it. Any help would be greatly appreciated, thank you.
- Show HN: I'm building a browser-based DAW
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AUDIO ANALYSIS WITH LIBROSA
Librosa is a Python package developed for music and audio analysis. It is specific on capturing the audio information to be transformed into a data block. However, the documentation and example are good to understand how to work with audio data science projects.
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AUDIO CLASSIFICATION USING DEEP LEARNING
Hello! welcome once again to the continuation of the last blog post about audio analysis using the Librosa python library, if you missed this article don't worry here you can enjoy audio analysis techniques with Librosa.
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DATA AUGMENTATION IN NATURAL LANGUAGE PROCESSING
Changing pitch of the audio:- in this technique python package for audio analysis like Librosa is the best tool to go with, by adding effect on the audio pitch to create new audio data.
ultimatevocalremovergui
- GUI for a Vocal Remover That Uses Deep Neural Networks
- can someone help me fix ultimate vocal remover 5.6?
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Open Source Libraries
Anjok07/UltimateVocalRemoverGUI: Vocal isolation
- Forget googling "ai vocal remover" or using RX9
- Romy & Fred again.. - Strong (Yelow Bootleg Remix) [2023]
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A "Short" review about Super Shy and why the runtime of a song probably matters.
UltimateVocalRemover - yields greater result if you got the specs for it
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Mai Sakurajima - Remember Summer Days (AI Voice Test 01)
👉 Voice Isolator Tool: https://github.com/Anjok07/ultimatevocalremovergui/releases/latest
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Show HN: Content-aware fill for audio to change a song to any duration
This can be done with quite aged AI actually. You can split a song into vocals+instrumental, or even vocals+drums+bass+other
https://github.com/Anjok07/ultimatevocalremovergui
- Kanye West - 808s & Heartbreak Acapellas
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Taxman - Vocals, bass, drums and guitars
Ultimate Vocal Remover for Windows
What are some alternatives?
pyAudioAnalysis - Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
spleeter - Deezer source separation library including pretrained models.
pydub - Manipulate audio with a simple and easy high level interface
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings
Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!
kapre - kapre: Keras Audio Preprocessors
vocal-remover - Vocal Remover using Deep Neural Networks
beets - music library manager and MusicBrainz tagger
so-vits-svc-fork - so-vits-svc fork with realtime support, improved interface and more features.
audioread - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python
jukebox - Code for the paper "Jukebox: A Generative Model for Music"