Gestern gefunden, ich weiss nicht, ob jemand das schon empfohlen hat:
The best vocal remover application on the internet, and it's totally free and open source! Available on Windows, Mac, & Linux
ultimatevocalremover.com
Eigenschaften
- gratis
- gute UI
- verschiedene Algorithmen nutzbar (auch neuere: downloadbar)
- sehr hohe Qualität mit den richtigen Settings
- Für Faule: Perplexity gibt Empfehlungen für Settings. Man bekommt Perplexity Pro als PayPal Kunde für ein Jahr gratis
www.mydealz.de
Ich bin begeistert!
FRAGE: What process methods does ultimate vocal remover 5 support? Explain each!
ANTWORT PERPLEXITY: Ultimate Vocal Remover 5 (UVR5) supports multiple
process methods, each representing a distinct algorithmic family for separating stems (vocals, instruments, reverb, etc.). These methods determine which AI model architecture the program uses for analysis and output.
VR Architecture
This is the
traditional architecture originally used in earlier UVR versions. It relies on convolutional neural networks specifically designed for
vocal/instrument separation. It includes:
- VR Arch Single Model V5: A classic model for general-purpose separation.
- Variants like 7_HP2 UVR target higher frequencies and broader spectral coverage, yielding smooth results in pop and rock songs.
MDX-NET
MDX-NET is UVR5’s
primary neural network method, featuring models trained on large datasets to understand complex mixes. It delivers high-quality isolation and is ideal for most songs. Key models include:
- UVR-MDX-NET Inst 3 / Main / HQ: For instruments or full-stem separation.
- MDX23C-InstVoc D1581: A hybrid model that separates both vocals and instruments with strong spectral precision.
- Supports GPU conversion, providing fast processing with minimal quality trade-offs.vocalremover.easeus+1
Demucs
Based on
Facebook AI’s Demucs architecture, this method uses waveform-level (time-domain) deep learning rather than spectrogram processing. It provides naturally sounding separations, especially effective for:
- Full stem decomposition (vocals, bass, drums, and other instruments).
- Models like htdemucs_ft (V4) expand performance for multi-stem extraction.deepwiki+1
ONNX Dereverb
This process method, built from
MDXNetDereverb, focuses on
reverb and echo reduction rather than pure separation. It’s often applied to clean up vocals after extraction—removing room reflections, echoes, and artificial reverbs from mixed recordings.
deepwiki
DeEcho
The
AudioPreDeEcho models specialize in
echo suppression and clarity enhancement while performing separation. They’re ideal for live or noisy recordings, cleaning artifacts introduced by reverberation or overcompression.
deepwiki
Ensemble Mode
UVR5’s
Ensemble Mode blends results from multiple models to create a single composite output. Users can select multiple different process methods (for example, MDX and Demucs) and average or combine their results using ensemble algorithms like
Max Spec/Max Spec to optimize isolation fidelity.
reddit+1
Summary Table
Process Method | Type | Primary Use | Characteristics |
---|
VR Architecture | Spectrogram CNN | Basic vocals/instrumentals | Fast, simple, moderate quality vocalremover.easeus+1 |
MDX-NET | Neural net (spectro) | General-purpose, high quality | Most recommended for modern mixes vocalremover.easeus+1 |
Demucs | Time-domain DNN | Multi-stem splitting | More natural sound, slower vocalremover.easeus+1 |
ONNX Dereverb | Neural dereverberator | Reverb/echo cleanup | Post-processing enhancer deepwiki |
DeEcho | Neural echo suppressor | Echo removal + separation | Optimized for noisy sources deepwiki |
Ensemble Mode | Hybrid | Blended results | Combines multiple models for balance vocalremover.easeus+1 |
In short, UVR5 lets you choose from
spectral, time-domain, dereverb, and ensemble processing paths, enabling users to tailor the method to their source quality and artistic intent.
- https://vocalremover.easeus.com/ai-article/how-to-use-ultimate-vocal-remover.html
- https://www.toolify.ai/ai-news/ai-music-production-ultimate-vocal-remover-5-deep-dive-3705266
- https://deepwiki.com/RVC-Project/Re...sion-WebUI/3.3-uvr5-(audio-source-separation)
- https://www.reddit.com/r/IsolatedTr.../ultimate_vocal_remover_5_settings_questions/
- https://github.com/Anjok07/ultimatevocalremovergui/discussions/1222
- https://github.com/Anjok07/ultimatevocalremovergui/discussions/689
- https://www.pluginboutique.com/arti...emover-Plugin-Guide-Separate-Music-Like-a-Pro
- https://www.reddit.com/r/audioengin...ch_is_actually_the_best_vocal_remover_of_all/
- https://s3sound.com/blog/how-to-split-stems-with-uvr5
- https://www.reddit.com/r/IsolatedTracks/comments/vuavwq/ultimate_vocal_remover/
- https://ultimatevocalremover.com
- https://github.com/Anjok07/ultimatevocalremovergui
- https://www.lalal.ai
- https://audiosex.pro/threads/uvr-ultimate-vocal-remover-the-question-the-journey.80898/
- https://www.runcomfy.com/comfyui-nodes/ComfyUI-UVR5
- https://recording.de/threads/ultimate-vocal-remover-gui-v5-6-free.258520/
- https://docs.applio.org/applio/guides/audio-isolating/uvr
- https://vocalremover.org
- https://www.reddit.com/r/audioengin...ltimate_vocal_remover_5_best_settings_to_use/
FRAGE: What demucs models does does ultimate vocal remover 5 support? Explain each!
ANTWORT PERPLEXITY:
Ultimate Vocal Remover 5 (UVR5) includes support for several versions of Demucs, specializing in high-quality multi-stem separation. Each Demucs model version brings different capabilities and optimizations suited for various separation tasks. Here are the Demucs models supported and what makes each unique:
Demucs v1 and v2
Early versions of Demucs use a time-domain, wave-to-wave neural network approach. They are relatively lightweight and can separate stems into vocals, drums, bass, and other instruments, but generally offer lower separation fidelity compared to later versions.
vocalremover.easeus
Demucs v3
Demucs v3 introduces improved neural architecture and larger training datasets. Separation quality increases, particularly for drum and bass stems, with fewer artifacts and better handling of complex mixes. It is more CPU- and GPU-intensive but produces cleaner, more natural sounding results.
vocalremover.easeus
Demucs v4 (htdemucs)
The most widely used variant in UVR5 is
Demucs v4, also called
htdemucs (hybrid time-frequency Demucs). It combines time-domain processing with spectrogram information, dramatically improving separation for all stems:
- htdemucs_ft: A fine-tuned version, even more precise at instrument and vocal isolation, especially for drum/bass extraction.audiosex
- htdemucs_6s: Version for 6-stem separation (Vocals, Drums, Bass, Piano, Other, Guitar), offering more granular instrument isolation, though slightly more prone to "bleed" between stems than the 4-stem version.github+1
- hdemucs_mmi: Multi-model inference for added consistency, usually recommended for nuanced splits.
Demucs 4-Stem and 6-Stem Modes
- Demucs 4-stem (Vocals, Drums, Bass, Other): The default, providing balanced performance with minimal musical residue.s3sound
- Demucs 6-stem (Vocals, Drums, Bass, Piano, Other, Guitar): Used for projects needing more detailed breakdown, though results can vary by song and genre.gearspace
Usage in UVR5
- Users can select from these Demucs models in UVR5 under the process method dropdown, and different models may be preferable depending on whether the focus is on vocal clarity, instrument isolation, or overall naturalness.
- Demucs models excel when used alone for quick separation, or within ensembles for optimal fidelity when combined with other model types.s3sound+2
In summary, UVR5 supports Demucs v1, v2, v3, v4 (htdemucs/htdemucs_ft), hdemucs_mmi, and both 4-stem and 6-stem Demucs variants, each providing different balances of speed, CPU/GPU demand, and separation accuracy.
- https://vocalremover.easeus.com/ai-article/how-to-use-ultimate-vocal-remover.html
- https://audiosex.pro/threads/uvr-ultimate-vocal-remover-the-question-the-journey.80898/
- https://github.com/Anjok07/ultimatevocalremovergui/issues/1942
- https://gearspace.com/board/electro...4-help-needed-uvr-ultimate-voice-remover.html
- https://s3sound.com/blog/how-to-split-stems-with-uvr5
- https://www.reddit.com/r/IsolatedTr.../ultimate_vocal_remover_5_settings_questions/
- https://github.com/Anjok07/ultimatevocalremovergui
- https://github.com/Eddycrack864/Ultimate-Vocal-Remover-5.6-for-Google-Colab
- https://www.reddit.com/r/audioengin...ch_is_actually_the_best_vocal_remover_of_all/
- https://huggingface.co/spaces/Eddycrack864/UVR5/blob/main/gui_data/constants.py
- https://comfy.icu/extension/set-soft__AudioSeparation
- https://github.com/Anjok07/ultimatevocalremovergui/issues/344
- https://pypi.org/project/demucs/3.0.2/
- https://huggingface.co/spaces/heath...e386f5154a1456402f97bf7/gui_data/constants.py
- https://www.runcomfy.com/comfyui-nodes/ComfyUI-UVR5
- https://github.com/Anjok07/ultimatevocalremovergui/issues/1718
- https://ultimatevocalremover.com
- https://www.scribd.com/document/661...on-Mastering-Guide-UVR-MDX-Demucs-GSEP-Others
- https://dev.to/lalalai/best-ai-vocal-removers-in-2025-1036
- https://github.com/Anjok07/ultimatevocalremovergui/discussions/444