- MVSEP’s BS Roformer by MVSep Team (SDR: 10.41)

under option "MVSep MelBand Karaoke (lead/back vocals)", metrics. Might be a fine-tune. Use the option “extract vocals first”.

(“In contrast with other Karaoke models, it returns 3 stems: "lead", "back" and "instrumental".)

“If I had to compare it to any of the models, it is similar to the frazer and becruily models. Sometimes it does not detect the lead vocals especially if there's some heavy hard panning, but when it does, there is almost no bleed, and it works very well with heavy harmonies in mono from what I tested.” - smilewasfound

“becruily & frazer is better a little when the main voice is stereo” - daylightgay

Less clarity than the models above - wancitte

“On tracks I tested, harmony preservation was better in becruily & frazer (...) the new model isn't worse, I ended up finding examples like Chan Chan by Buena Vista Social Club or The Way I Are by Timbaland where it is better than the previous kar model. The thing is, with the Kar models, it's just track per track. Difficult to find a model for batch processing as it's really different from one track to another” - dca100fb8

As for MVsep Team: “It’s the only model that combines the lead vocal doubles with the lead vocals stem. It’s far more useful for dissecting harmonies on songs with vocal doubles like Backstreet Boys” - heuheu

“I also found the new model to not keep some BGVs, mainly mono/low octave ones, despite higher SDR” - becruily

“I think I've found a solution for people who don't like the new model.

If you put an audio file through the karaoke model and then put the lead vocal result through that, it usually picks up doubles.

Which you can then put in your BGV stem if you'd like” - dynamic64

 

- gilliaan_melroformer_karaoke_v1 | yaml | metrics | Colab

“I don't think it's the best out there tho... Very mid but still sharing LOL. Dual model, finetune of gilliaan_melroformer_centerwide_v3!” - gilliaan

 

- MVSep Choir (works for e.g. choirs buried under main vocal in e.g. pop music)

 

- gilliaan_bsroformer_deeffect_v1beta | yaml | Colab | MVSEP

(gilliaan) “"work in progress" model, it's a proof of concept. (finetune of becruily's karaoke model shoutout to him, BS Roformer)

It separates lead vocal from BGVs, it acts as a De-echo/De-reverb/De-chorus/De-double, cleans out the lead. Made specifically for RVC training, it gives you the raw dry lead vocals of a mix basically.

Works on full mixes too, but isolated vocals give better results. If your source is complicated, try splitting L/R first”

As preprocessor “My pick would be one of the Gabox models since they are usually very clean, and there are many fullness levels to choose from." - musicalman

Also, “separate the instrumentals first with a better model since the deeffect model could leave some synths, trumpets, etc.” - makidanyee

E.g. phantom center then gabox flowers v10 with phase fix” - Izzy/bitterkite

 

- bs_karaoke_3stem_giantailab (model | yaml | for use with this bs_roformer.py file for MSST | mvsepless: HF 

Works people talking over vocals where karaoke models failed and only extracted backing and lead vocals where the speech landed in the latter.