UVR (Ultimate Voice Recorder): The Question is Answered!

Discussion in 'Working with Sound' started by tommyzai, Aug 1, 2025 at 3:45 AM.

  1. tommyzai

    tommyzai Platinum Record

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    I've noticed that many users recommend a series of modules to achieve a desired stem separation, for example:

    UVR-MDX-NET Karaoke + VR5_HP-Karaoke-UVR
    Or
    MDX-NET HQ 5 + Inst Main
    Or
    The Attached Chart, which really confuses me.



    When I put more than one module in Ensemble mode, I get a bunch of stems . . . like it's stemming all the modules and giving me choices for comparison. Is there a way to have a few modules in a series, i.e., A+B+C=Stems from the combination of A,B,C processed in a row??

    Any help and/or thoughts are appreciated.
     
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  3. PulseWave

    PulseWave Audiosexual

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    Best Answer
    You’re absolutely right to notice the confusion around using multiple modules in Ultimate Vocal Remover (UVR) Ensemble Mode, as it can indeed produce multiple stem outputs rather than a single, optimized result from a sequential process. Your question about processing modules in a series (e.g., A → B → C to produce a final stem) is a great one, as UVR’s Ensemble Mode doesn’t natively work this way—it combines the outputs of multiple models in parallel rather than chaining them sequentially. However, there are ways to achieve a serial processing workflow to refine stem separation using multiple models. Let’s break it down and address your query step-by-step.

    Understanding UVR Ensemble Mode
    In UVR5, Ensemble Mode is designed to run multiple models simultaneously (in parallel) and then combine their outputs using algorithms like Max Spec or Average to produce a single set of stems (e.g., vocals and instrumental). Each model processes the input audio independently, and UVR blends the results based on the selected ensemble algorithm. This is why you get multiple stems when you select several models—it’s not processing them in a series but rather generating outputs from each and then merging them.

    For example:

    • If you select UVR-MDX-NET Karaoke, VR5_HP-Karaoke-UVR, and MDX-NET Inst Main in Ensemble Mode, UVR runs all three models on the input audio and combines their outputs to produce a single vocal and instrumental stem pair (or more, depending on settings).
    • The “bunch of stems” you’re seeing is likely due to UVR saving individual model outputs alongside the ensemble result, especially if you have options like Save All Outputs or Save Split Vocal/Instrumental Outputs enabled in the settings.
    To process models in a series (A → B → C), you need to manually chain the processing steps, as UVR5 doesn’t have a built-in feature for automated sequential processing. Below, I’ll explain how to achieve this and provide recommendations based on your examples (e.g., UVR-MDX-NET Karaoke, VR5_HP-Karaoke-UVR, MDX-NET HQ 5, Inst Main) and the confusion around charts like the one you mentioned.

    How to Process Modules in Series
    To process stems sequentially (e.g., A → B → C), you’ll need to run multiple passes in UVR, where the output of one model becomes the input for the next. Here’s a step-by-step guide to achieve this:

    Step 1: Understand Your Goal
    Before starting, clarify what stems you want (e.g., vocals only, instrumental only, or both, or even separating main vocals from backing vocals). Sequential processing is often used to refine results, such as:

    • Cleaning up vocal artifacts after an initial separation.
    • Isolating main vocals from backing vocals.
    • Enhancing instrumental quality by reducing vocal bleed.
    For example:

    • UVR-MDX-NET Karaoke + VR5_HP-Karaoke-UVR: This combination is often used to isolate backing vocals or clean lead vocals.
    • MDX-NET HQ 5 + Inst Main: This is typically for high-quality instrumental extraction with minimal vocal bleed.
    • The “Attached Chart” you mentioned likely refers to a community-shared workflow (e.g., from Reddit or Discord) that suggests specific model combinations or settings for optimal results. Since I don’t have access to the chart, I’ll focus on common serial workflows based on the models you listed.
    Step 2: Run the First Model
    1. Open UVR5 and select your input audio file (e.g., MP3, WAV, FLAC).
    2. Choose a single model (not Ensemble Mode) to start the process. For example:
      • Select MDX-NET as the process method and UVR-MDX-NET Karaoke as the model for vocal/instrumental separation.
      • Alternatively, use MDX-NET Inst HQ 5 for high-quality instrumental extraction.
    3. Configure settings:
      • Output Format: WAV or FLAC for lossless quality (important for subsequent passes).
      • Denoise: Set to None or Auto unless you specifically need denoising (e.g., for noisy input).
      • Overlap: Default (0.75) is usually fine, but you can experiment with 0.5–0.99 for cleaner results at the cost of longer processing time.
      • Vocals Only: Check this if you only want the vocal stem for the next pass.
    4. Process the audio and save the output to a designated folder.
      • You’ll get two files (e.g., song_UVR-MDX-NET-Karaoke_(Vocals).wav and song_UVR-MDX-NET-Karaoke_(Instrumental).wav).
    Step 3: Use the Output as Input for the Next Model
    1. Take the output stem from the first pass (e.g., the vocal stem from UVR-MDX-NET Karaoke) and load it as the input for the next model.
      • For example, if you’re refining vocals, load song_UVR-MDX-NET-Karaoke_(Vocals).wav into UVR.
    2. Select the next model in the sequence. For example:
      • Choose VR Architecture and 5_HP-Karaoke-UVR to clean up the vocal stem or separate main vocals from backing vocals.
      • Ensure Vocals Only is checked if you’re focusing on vocals, and uncheck Save Split Instrumental Outputs to avoid unnecessary files.
    3. Process the audio again and save the output.
    Step 4: Repeat for Additional Models
    1. Take the output from the second pass (e.g., song_5_HP-Karaoke-UVR_(Vocals).wav) and use it as input for the third model, such as UVR-MDX-NET Inst Main or another model like Kim Vocal 2 for further refinement.
    2. Adjust settings as needed (e.g., overlap, denoise, aggression for VR models).
    3. Process and save the final output.
    Step 5: Combine or Finalize
    • If you’re aiming for a single high-quality stem, the final output from the last pass is your result.
    • If you need both vocals and instrumental stems, you may need to process the instrumental output from the first pass separately or rely on the initial separation if it’s clean enough.
    • To reduce vocal bleed in instrumentals, you can subtract the refined vocal stem from the original audio (using phase inversion in a DAW like Audacity or Reaper) to create a cleaner instrumental.
    Example Workflow for Your Models
    Based on the models you mentioned (UVR-MDX-NET Karaoke, VR5_HP-Karaoke-UVR, MDX-NET HQ 5, Inst Main), here’s a practical serial workflow to separate main vocals, backing vocals, and instrumental stems:

    Goal: Separate Main Vocals, Backing Vocals, and Instrumental
    1. First Pass: Initial Vocal/Instrumental Separation
      • Model: MDX-NET → UVR-MDX-NET Karaoke
      • Settings:
        • Process Method: MDX-NET
        • Main Stem Pair: Vocals/Instrumental
        • Overlap: 0.75
        • Denoise: Auto or None
        • Output Format: WAV
      • Output: song_UVR-MDX-NET-Karaoke_(Vocals).wav (total vocals) and song_UVR-MDX-NET-Karaoke_(Instrumental).wav
      • Purpose: This model is great for high-quality vocal/instrumental separation. It extracts all vocals (main + backing) with minimal instrumental bleed.
    2. Second Pass: Separate Main Vocals from Backing Vocals
      • Input: song_UVR-MDX-NET-Karaoke_(Vocals).wav
      • Model: VR Architecture → 5_HP-Karaoke-UVR
      • Settings:
        • Process Method: VR Architecture
        • Check Vocals Only
        • Aggression: 5 (default for vocals)
        • Window Size: 512 (balance of speed and quality)
        • Output Format: WAV
      • Output:
        • song_5_HP-Karaoke-UVR_(Vocals).wav (main vocals)
        • song_5_HP-Karaoke-UVR_(Instrumental).wav (backing vocals)
      • Purpose: 5_HP-Karaoke-UVR is designed to isolate lead vocals while leaving backing vocals in the “instrumental” output.
    3. Third Pass: Refine Instrumental (Optional)
      • Input: song_UVR-MDX-NET-Karaoke_(Instrumental).wav from the first pass
      • Model: MDX-NET → UVR-MDX-NET Inst Main or MDX-NET Inst HQ 5
      • Settings:
        • Process Method: MDX-NET
        • Main Stem Pair: Vocals/Instrumental
        • Overlap: 0.75–0.99 (higher for cleaner results)
        • Denoise: Auto or None
        • Output Format: WAV
      • Output: song_UVR-MDX-NET-Inst-Main_(Instrumental).wav (refined instrumental)
      • Purpose: Inst Main or HQ 5 reduces vocal bleed in the instrumental stem, producing a cleaner result.
    Result:
    • Main Vocals: From the second pass (song_5_HP-Karaoke-UVR_(Vocals).wav)
    • Backing Vocals: From the second pass (song_5_HP-Karaoke-UVR_(Instrumental).wav)
    • Instrumental: From the first or third pass, depending on quality (song_UVR-MDX-NET-Karaoke_(Instrumental).wav or song_UVR-MDX-NET-Inst-Main_(Instrumental).wav)
    Addressing the Chart Confusion
    The “Attached Chart” you mentioned is likely a community-created guide (e.g., from Reddit, Discord, or MVSep) that outlines model combinations or settings for specific outcomes. These charts often confuse users because they list multiple models (e.g., UVR-MDX-NET Karaoke, Inst HQ 5, Inst Main) with settings like overlap, denoise, or ensemble algorithms without clearly explaining whether they’re used in parallel (Ensemble Mode) or in series. Here’s how to interpret and use such charts:

    1. Check for Sequential Instructions: If the chart suggests running one model’s output through another (e.g., “Use MDX-NET Karaoke, then run vocals through 5_HP-Karaoke-UVR”), it’s describing a serial process like the one above.
    2. Look for Ensemble Recommendations: If it lists multiple models with settings like “Max Spec/Max Spec” or “Average/Average,” it’s for Ensemble Mode, where models are run in parallel and combined.
    3. Simplify the Workflow: Focus on 2–3 models that align with your goal (e.g., vocals, instrumental, or specific stems like bass/drums). Avoid overloading with too many models, as it increases processing time and may not improve results significantly.
    4. Join Communities for Clarity: The UVR Discord or r/IsolatedTracks on Reddit often share updated charts and workflows. For example, a 2024 Reddit post details using MDX Kim Vocal 2 followed by 5_HP-Karaoke-UVR for main/backing vocal separation.
    If you can share specific details from the chart (e.g., model names, settings, or goals), I can help tailor the workflow further.

    Tips to Avoid Multiple Stems and Streamline Processing
    To prevent UVR from generating excessive stems and focus on serial processing:

    1. Disable Extra Outputs:
      • In Additional SettingsVocal Splitter Options, uncheck Save Split Vocal Instruments unless you specifically need separate lead/backing vocal stems.
      • In Ensemble Mode, uncheck Save All Outputs to avoid saving individual model results.
    2. Use Single Models for Each Pass: Instead of Ensemble Mode, select one model per pass (e.g., MDX-NET → UVR-MDX-NET Karaoke, then VR Architecture → 5_HP-Karaoke-UVR).
    3. Check GPU Conversion: Enable GPU Conversion if you have a compatible GPU (e.g., NVIDIA with CUDA) to speed up processing. Ensure your GPU drivers and CUDA are up to date to avoid long processing times.
    4. Test with Small Files: Use a short audio clip (e.g., 30 seconds) to test your workflow before processing full tracks, as serial processing can be time-consuming.
    5. Optimize Settings:
      • Overlap: Higher values (0.75–0.99) improve quality but increase processing time.
      • Denoise: Use Auto or Denoise Model for noisy inputs, but avoid overusing it to prevent audio degradation.
      • VR Aggression: For VR models like 5_HP-Karaoke-UVR, set aggression to 5 for vocals or 10 for instrumentals to balance extraction strength.
    Recommended Models for Common Goals
    Based on your examples and community recommendations:

    • High-Quality Vocals: Start with MDX-NET: UVR-MDX-NET Karaoke or Kim Vocal 2, then refine with VR: 5_HP-Karaoke-UVR for main/backing vocal separation.
    • Clean Instrumentals: Use MDX-NET: UVR-MDX-NET Inst HQ 5 or Inst Main with high overlap (0.99) and denoise off. Combine with Demucs v4 | htdemucs_ft in Ensemble Mode for multi-stem projects.
    • Backing Vocals: Run vocals from MDX-NET through VR: 5_HP-Karaoke-UVR or VR: UVR-BVE-4B_SN-44100-1.
    • Multi-Stem (Bass, Drums, etc.): Use Demucs v4 | htdemucs_ft or MDX23C-InstVoc HQ for 4–6 stem separation, then refine specific stems with targeted models.
    Why Serial Processing Works
    Serial processing allows each model to focus on its strengths:

    • MDX-NET models (e.g., UVR-MDX-NET Karaoke, Inst HQ 5) excel at initial vocal/instrumental separation due to their high SDR (Signal-to-Distortion Ratio) scores.
    • VR models (e.g., 5_HP-Karaoke-UVR) are great for refining vocals, especially for karaoke or backing vocal isolation, as they target specific vocal characteristics.
    • Demucs models (e.g., v4 | htdemucs_ft) are better for multi-stem separation (bass, drums, etc.) but may have more bleed in vocals compared to MDX-NET.
    By chaining these models, you leverage their complementary strengths to reduce artifacts and improve stem quality.

    Additional Resources
    • UVR Documentation: Check the official GitHub page for model descriptions and updates.
    • Community Guides: Join the Audio Separation Discord or check r/IsolatedTracks for user-shared workflows.
    • MVSep Leaderboards: Visit https://mvsep.com/quality_checker/ for model performance metrics (e.g., SDR scores) to choose the best models for your needs.
    • YouTube Tutorials: Search for tutorials like “How to extract vocals with UVR5” for visual guides.
    Final Thoughts
    To achieve A → B → C processing in UVR5, you need to manually run each model pass, using the output of one as the input for the next. This serial approach is more labor-intensive than Ensemble Mode but allows precise refinement (e.g., cleaning vocals with 5_HP-Karaoke-UVR after MDX-NET Karaoke). For the models you mentioned, start with UVR-MDX-NET Karaoke for initial separation, then use 5_HP-Karaoke-UVR to isolate main/backing vocals, and optionally refine instrumentals with Inst HQ 5 or Inst Main. Disable extra output options to avoid clutter, and test settings on short clips to optimize your workflow.

    If you have specific details about the chart or your desired output (e.g., only vocals, only instrumental, or specific stems), let me know, and I can refine the workflow further!
     
  4. akbarz

    akbarz Kapellmeister

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    im sorry i don't understand your question correctly and i cant answer it...

    but remember, that graph is old... there is new models now... they are good and no need for Ensembling...

    my suggestion:
    just use becruily inst and vocal
    inst stems: online: mvsep-> bs roformer sw / offline : zftorbo bs roformer or htdemucs_ft (you can Ensemble all demucs ones) / the mvsep one is best that you can get for now
    reverb: anvuew models
    karaoke: becruily

    this doc can help you( but dont lost in it):

    https://docs.google.com/document/d/17fjNvJzj8ZGSer7c7OFe_CNfUKbAxEh_OBv94ZdRG5c
     
  5. tommyzai

    tommyzai Platinum Record

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    Firstly, WOW!!! I've been posting on here, KVR, GS, etc. for about 15-years, and without a doubt your response is the very best I've ever received on a thread/question. Thanks so much for taking the time to write such a clear, comprehensive explanation. MUCH appreciated! I will use your words as a reference for years to come.

    Secondly, if not too much trouble, would you kindly provide your suggestion for the following two types of separation?

    1. Vocals. Whatever cleanly separates them from the entire instrumental track. I don't mind lead and backing sandwiched together . . . just as long as they are both pulled out. Yet, if there is a way to also separate lead and harmonies after the fact . . . that would also be useful.

    2. Drums. I'm desperately trying to extract drum loops from full performances. I use these for practice, quick song assembly, and as a teaching tool.

    Any thoughts or suggestions would be appreciated. Note: I realize that one model and associated settings will not always yield the best results in all situations. I'm hopeful to find a workflow and parameters that give me the best chance(s).

    Finally, in your opinion, is UVR the best for separating at this moment in time? Others seem to package it all in easy to use interfaces, but are any of the alternatives better at doing any kind of separation?

    THANK YOU!!!!!!
     
    Last edited: Aug 1, 2025 at 5:18 PM
  6. PulseWave

    PulseWave Audiosexual

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    I understand you're looking for guidance on using Ultimate Vocal Remover (UVR) for vocal and drum separation, along with an evaluation of whether UVR is the best tool for these tasks in 2025. Below, I’ll address your questions in detail, providing recommended workflows and settings for vocal and drum separation, and comparing UVR to other available tools based on the latest information. I’ll keep it concise yet comprehensive, focusing on practical advice for your use cases (extracting vocals and drum loops for practice, song assembly, and teaching).

    1. Vocal Separation with UVR
    Goal: Cleanly separate vocals (lead and backing combined) from the instrumental track, with an optional method to further separate lead and backing vocals.

    Recommended Workflow for Vocal Separation
    UVR is highly effective for vocal separation due to its advanced AI models, particularly the MDX-Net and VR architectures. Here’s a step-by-step workflow to achieve clean vocal extraction:

    1. Model Selection:
      • Primary Model: Use the MDX23C-InstVoc HQ model for high-quality vocal/instrumental separation. This model is praised for its full-band processing (unlike Spleeter’s 11kHz cutoff) and minimal artifacts.
      • Alternative Model: If MDX23C-InstVoc HQ isn’t available in your UVR version, use Kim Vocal 2 (MDX) for clean vocal stems. It’s noted for producing high-quality results with fewer processing steps.
      • Ensemble Mode: For the best results, enable UVR’s ensemble mode, combining MDX23C-InstVoc HQ with Kim Vocal 1 or Voc-FT. This averages outputs from multiple models to reduce artifacts and improve clarity.
    2. Settings:
      • Segment Size (Chunks): Set to default (e.g., 32 or 64). Larger segments (e.g., 128) improve quality but require more GPU memory and processing time.
      • Overlap: Use a moderate overlap (e.g., 0.5–0.8) to balance quality and processing speed. Higher overlap (e.g., 0.9) can reduce artifacts but increases computation time.
      • Output Format: Export in WAV for the highest quality, especially for further editing or remixing. UVR supports MP3, FLAC, and WAV, but WAV minimizes quality loss.
      • GPU Acceleration: If you have an NVIDIA GPU with CUDA cores (e.g., RTX 1060 or better), enable GPU rendering for faster processing (e.g., 30 seconds for a 3–4 minute song). CPU rendering is viable but slower.
    3. Post-Processing for Cleaner Vocals:
      • Run the vocal output through VR De-Reverb and VR De-Echo-Normal models sequentially to reduce reverb and echo artifacts. This is particularly effective for cleaner vocals without metallic or “blip-shatter” sounds.
      • Example Workflow: Process with MDX Kim Vocal 2, then apply VR De-Reverb, followed by VR De-Echo-Normal. This simplifies the process while maintaining quality.
      • Note: Some users report metallic artifacts with de-echo models. If this occurs, try only VR De-Reverb or adjust input audio quality (higher-quality inputs like 44.1kHz WAV yield better results).
    4. Optional: Separating Lead and Backing Vocals:
      • UVR includes a Lead & Back Vocal Splitter option in some models, which can separate lead vocals from backing vocals. Use the MDX-B Karaoke model or check MVSEP’s Medley Vox model for multi-singer separation. These models are designed for high-quality lead vocal extraction and can handle backing vocals to some extent.
      • Process: After extracting the vocal stem (lead + backing), run it through the Lead & Back Vocal Splitter in UVR or MVSEP’s Medley Vox model. Note that this works best with tracks where vocals are distinct (e.g., no heavy reverb blending lead and backing).
      • Limitations: If lead and backing vocals are heavily mixed or similar in frequency, separation quality may degrade. Test with a high-quality input file (e.g., 44.1kHz WAV).
    Tips for Success
    • Input Quality: Use high-quality audio (e.g., 44.1kHz WAV or FLAC) to minimize artifacts. Lower-quality MP3s may leave faint vocal traces or introduce distortion.
    • Experimentation: Vocal separation quality varies by song due to mixing styles. Test multiple models (e.g., MDX23C, Kim Vocal 2, Voc-FT) and ensemble combinations for each track.
    • Cleaning Up Artifacts: If artifacts persist, import the vocal stem into a DAW (e.g., Audacity, Logic Pro) and apply light EQ or noise reduction to remove residual instrumental bleed.
    2. Drum Separation with UVR
    Goal: Extract clean drum loops from full performances for practice, song assembly, and teaching.

    Recommended Workflow for Drum Separation
    UVR’s Demucs v4 models are particularly effective for drum separation, as they can isolate drums, bass, vocals, and other instruments into separate stems.

    1. Model Selection:
      • Primary Model: Use Demucs v4: htdemucs_ft for drum separation. This model is specifically recommended for extracting drums and bass with high quality and minimal artifacting, even in busy mixes like death metal.
      • Alternative Model: Demucs4 HT or BS Roformer SW (available via MVSEP integration in UVR) can produce six stems (vocals, drums, bass, piano, guitar, other) with excellent quality. BS Roformer SW is noted for superior multi-stem separation.
      • Ensemble Mode: Combine Demucs v4: htdemucs_ft with MVSep Drums or BS Roformer SW in ensemble mode to improve drum isolation accuracy.
    2. Settings:
      • Segment Size (Chunks): Default (e.g., 32 or 64) is usually sufficient. For complex tracks with dense percussion, try a larger segment size (e.g., 128) for better quality at the cost of longer processing.
      • Overlap: Set to 0.5–0.8 for a balance of quality and speed. Higher overlap (e.g., 0.9) can improve clarity in busy mixes.
      • Output Format: Export in WAV for high-quality drum loops suitable for practice or teaching.
      • GPU Acceleration: Enable GPU rendering with an NVIDIA GPU for faster processing (e.g., 30 seconds for a 4-stem separation on an RTX 2070).
    3. Post-Processing for Drum Loops:
      • DrumSep Model: For finer drum separation, use the MVSep DrumSep model, which splits drums into kick, snare, toms, and cymbals (hi-hat, ride, crash). This is ideal for creating specific drum loops or isolating elements for teaching.
      • Cleaning Artifacts: If residual bass or guitar bleed occurs, import the drum stem into a DAW and apply a high-pass filter (e.g., 100–150 Hz) to remove low-frequency bleed or use noise reduction tools.
      • Loop Creation: For practice or song assembly, use a DAW to trim the drum stem into loops. Tools like Ableton Live or Logic Pro can help quantize or adjust timing for seamless loops.
    Tips for Success
    • Song Complexity: Drum separation works best in tracks with distinct drum parts. In dense or heavily compressed mixes (e.g., modern pop or metal), some bleed from other instruments may occur. Test with Demucs v4 and BS Roformer SW to find the best model for each song.
    • Practice Use: For teaching, export stems at 48kHz WAV to ensure clarity when demonstrating drum patterns. Use the DrumSep model to isolate specific drum components (e.g., kick or snare) for focused lessons.
    • Batch Processing: UVR supports batch processing, so you can process multiple tracks at once for efficient loop creation.
    3. Is UVR the Best for Stem Separation in 2025?
    UVR is widely regarded as one of the best tools for vocal and drum separation in 2025 due to its open-source nature, high-quality AI models, and flexibility. However, other tools offer unique advantages, particularly in ease of use or specific use cases. Below is a comparison of UVR with top alternatives, focusing on vocal and drum separation quality, ease of use, and suitability for your needs.

    Why UVR Stands Out
    • Quality: UVR’s MDX-Net and Demucs v4 models deliver studio-quality vocal and drum separation, often outperforming commercial tools like iZotope RX or Spleeter in specific scenarios. Its ensemble mode enhances results by combining multiple models.
    • Flexibility: UVR supports a wide range of models (e.g., MDX23C, Kim Vocal, Demucs, BS Roformer) and allows customization of settings like segment size and overlap, making it ideal for advanced users.
    • Free and Open-Source: Unlike paid tools, UVR is free, with no limitations, and supports Windows, macOS, and Linux, including Apple Silicon.
    • Community Support: Continuous updates and a strong community (e.g., GitHub, Discord) ensure access to the latest models and troubleshooting.
    • Drum Separation: UVR’s Demucs v4 and DrumSep models are particularly effective for extracting clean drum stems, even in complex mixes, making it a top choice for your drum loop needs.
    Limitations of UVR
    • Learning Curve: UVR’s interface is utilitarian, and selecting the right model/settings requires experimentation, which can be intimidating for beginners.
    • Processing Time: Without a compatible GPU, processing can be slow (e.g., up to an hour for complex tracks).
    • No Real-Time Preview: You must process the file to hear results, which can slow workflows compared to tools with real-time previews.
    • Installation: UVR requires a 1.5–5GB download and may have compatibility issues on older systems (e.g., Windows 7 or Intel Pentium CPUs).
    Comparison with Alternatives
    Here’s how UVR compares to other leading vocal and drum separation tools in 2025, based on available data:

    1. LALAL.AI:
      • Pros:
        • Browser-based, user-friendly interface, ideal for casual users or beginners.
        • Supports vocal, drum, bass, guitar, piano, and more, with high-quality separation using Stem Splitter and Lead & Back Vocal Splitter.
        • Fast processing (e.g., 20 seconds for a 3m40s song) and supports multiple formats (MP3, WAV, FLAC, MP4).
      • Cons:
        • Subscription-based, with limited free tier (e.g., 10 minutes of processing).
        • Less customizable than UVR; fewer model options for fine-tuning.
      • Suitability: Great for quick, hassle-free vocal and drum separation, but less flexible for advanced users or those needing free tools.
    2. Moises.ai:
      • Pros:
        • Browser-based and mobile-friendly, with an intuitive interface.
        • Separates vocals, drums, bass, and more, with tools to adjust tempo/pitch for practice (ideal for your teaching use case).
        • Can split lead and backing vocals, similar to UVR’s capabilities.
      • Cons:
        • Subscription-based with a limited free plan.
        • Separation quality is slightly inferior to UVR for complex tracks, with occasional artifacts.
      • Suitability: Excellent for practice and teaching due to tempo/pitch controls, but UVR outperforms for studio-quality drum and vocal stems.
    3. iZotope RX 11:
      • Pros:
        • Professional-grade audio repair toolkit with Music Rebalance module for vocal and drum separation.
        • Cleaner separations with fewer artifacts than UVR in some cases, especially for noisy recordings.
        • Integrates with DAWs and offers real-time previews.
      • Cons:
        • Expensive (paid software, not open-source).
        • Less specialized for drum separation compared to UVR’s Demucs models.
      • Suitability: Best for professionals needing a complete audio repair suite, but UVR is more cost-effective for vocal/drum separation.
    4. SpectraLayers 11:
      • Pros:
        • Advanced stem separation with modified models for vocals, brass, and backing vocals.
        • Improved GPU acceleration in recent updates, though still slower than UVR on NVIDIA GPUs.
      • Cons:
        • Paid software, less cost-effective than UVR.
        • Slower processing (e.g., 1 hour for a 1-hour file without CUDA).
      • Suitability: Good for users already invested in Steinberg products, but UVR offers better value and speed for vocal/drum separation.
    5. MVSEP:
      • Pros:
        • Web-based service with state-of-the-art models (e.g., BS Roformer, MelBand Roformer) integrated into UVR.
        • Excellent for multi-stem separation (vocals, drums, bass, piano, guitar), with high ratings for drum and bass isolation.
      • Cons:
        • 100MB file size limit for uploads, less versatile than UVR’s standalone software.
        • Requires internet access, unlike UVR’s offline capability.
      • Suitability: Strong for drum separation, but UVR’s integration of MVSEP models makes it redundant unless you prefer a web-based workflow.
    6. RipX:
      • Pros:
        • High-quality stem separation, reportedly better than iZotope RX and Acon Remix in some tests.
        • User-friendly for isolating vocals and drums.
      • Cons:
        • Paid software, less accessible than UVR.
        • Less community support and fewer model options compared to UVR.
      • Suitability: A strong alternative for paid users, but UVR’s free models often match or exceed its performance for vocals and drums.
    Is UVR the Best?
    • For Your Needs: UVR is likely the best choice for vocal and drum separation in 2025 due to its free, open-source nature, high-quality models (MDX23C, Demucs v4, BS Roformer), and flexibility for advanced users. Its ability to handle complex tracks and produce clean drum loops (via Demucs and DrumSep) makes it ideal for your practice, song assembly, and teaching goals. The ensemble mode and post-processing options (de-reverb, de-echo) further enhance vocal clarity.
    • Alternatives for Ease of Use: If you prioritize simplicity, LALAL.AI or Moises.ai offer browser-based interfaces that are easier for beginners but lack UVR’s customization and cost-free model.
    • Alternatives for Professionals: iZotope RX 11 is better for professional audio engineers needing real-time previews and a broader repair toolkit, but it’s expensive and less specialized for drum separation.
    • Drum-Specific Advantage: UVR’s Demucs v4 and DrumSep models are unmatched for drum loop extraction, especially in complex genres like death metal, making it superior to most alternatives for your drum-focused use case.
    Final Recommendations
    • For Vocals:
      • Use MDX23C-InstVoc HQ or Kim Vocal 2 with ensemble mode (combine with Voc-FT).
      • Apply VR De-Reverb and VR De-Echo-Normal for cleaner results.
      • For lead/backing vocal separation, use MDX-B Karaoke or Medley Vox (via MVSEP integration).
      • Export in WAV and test multiple models per song for optimal results.
    • For Drums:
      • Use Demucs v4: htdemucs_ft or BS Roformer SW for multi-stem separation.
      • Use MVSep DrumSep for isolating kick, snare, toms, and cymbals.
      • Set moderate segment size (32–64) and overlap (0.5–0.8), exporting in WAV.
      • Clean up bleed in a DAW if needed.
    • Why Choose UVR: UVR’s combination of free access, high-quality AI models, and community support makes it the top choice for vocal and drum separation in 2025, especially for your use cases. Its Demucs v4 and DrumSep models are particularly strong for drum loops, and MDX-Net models excel for vocals. If ease of use is a priority, test LALAL.AI or Moises.ai, but UVR’s flexibility and cost-free nature are hard to beat.
    • Additional Tips:
      • Download the latest UVR version (v5.6.0 or higher) from the official GitHub: https://github.com/Anjok07/ultimatevocalremovergui.
      • Use the Download Center in UVR to access “pro” models like MDX23C or Kim Vocal 2 (free with a Patreon code).
      • Join the UVR Discord community for real-time advice on model selection and troubleshooting.
      • If budget allows, consider iZotope RX 11 for professional-grade post-production, but UVR is sufficient for most of your needs.
    Conclusion
    UVR is an excellent choice for separating vocals and drums in 2025, offering high-quality results, flexibility, and no cost. For vocals, MDX23C-InstVoc HQ with post-processing (de-reverb, de-echo) ensures clean stems, with MDX-B Karaoke for lead/backing separation. For drums, Demucs v4: htdemucs_ft and DrumSep provide precise loop extraction, ideal for practice and teaching. While LALAL.AI and Moises.ai are easier to use, and iZotope RX 11 offers professional features, UVR’s performance and price (free) make it the best overall for your needs. Experiment with models and settings, and leverage UVR’s community for song-specific advice.

    If you have further questions or need help with specific tracks, let me know, and I can guide you through tweaking settings or troubleshooting!

    Sources:




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  7. tommyzai

    tommyzai Platinum Record

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    Holy Moly! PulseWave is like a human ChatGPT on steroids. I can't thank you enough. This thread should be saved!

    You wrote, "If budget allows, consider iZotope RX 11 for professional-grade post-production, but UVR is sufficient for most of your needs."

    Would that be for stem separation or for cleaning up the UVR stems, i.e., de-noise, de-reverb, etc.?
     
  8. tommyzai

    tommyzai Platinum Record

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    I am having trouble finding these:

    MDX-B Karaoke
    Medley Vox
    (via MVSEP integration)
    MVSep DrumSep
     
  9. PulseWave

    PulseWave Audiosexual

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    iZotope RX 11 is recommended primarily for cleaning up UVR stems (e.g., de-noising, de-reverb, de-clicking, spectral repair, etc.) rather than for stem separation itself. UVR (Ultimate Vocal Remover) is already effective for stem separation, splitting audio into vocals, instruments, drums, etc. However, UVR's output can sometimes include artifacts, noise, or reverb that RX 11 can polish professionally. For most users, UVR handles separation well enough, and RX 11 would be overkill unless you need advanced post-production cleanup for high-quality results.
     
  10. akbarz

    akbarz Kapellmeister

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    mvsep ones are exclusive of their own, they are not public
     
  11. tommyzai

    tommyzai Platinum Record

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    Is there anyway I/We can I get them?
     
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