Voice Models v2
EasyAIVoice ↗
32,011 Verified Open Models 28,877 Multi-Pitch Audition Ready 100% Direct Source URLs (HF · Drive · MEGA)
NPIM Test Model
RVC v2

NPIM Test Model

Nell · without pre-trained Model

RVC v2 Added Aug 22, 2024
Open Model Weights Vault · Hosted on Hugging Face · 78.6 MB
✓ Verified Direct URL
https://huggingface.co/SeoulStreamingStation/RVC_Voice_Models/resolve/main/Nell_Test_NPIM.zip?download=true
Download Raw Weights (.zip) ↗
Convert Audio with This Voice in EasyAIVoice
Carries this exact model URL and your selected pitch (0 st) into the cloud studio.
Zero GPU Setup
Audio Decision Loop · Sample Deck

Audition Across 18 Pitch References

Click any semitone cell below to hear how this voice performs on female and male reference vocals and lock your preferred pitch.

18 Reference Previews
FEMALE reference · Pitch 0 st
Generated reference preview · Ready to audition
Semitone Shift (`-16` to `+16` st) · Bar height indicates NISQA clarity score
Female Ref
Male Ref
Audible Female Audible Male
Raw model title: NPIM Test Model - Nell (without pre-trained Model)
CLAP Semantic Analysis · Voice Accords

Sonic Profile at Selected Pitch

Acoustic traits measured directly from the generated output sample. Switch pitches in the Sample Deck to see how timbre shifts.

Technical Profile

Architecture: RVC v2 · Source Host: Hugging Face

Auditory Discovery · Close Alternatives

Voices That Sound Like NPIM Test Model

Close but not quite the right fit? Audition nearby candidates matched by vocal embedding and timbre.

High-clarity female voice
MALE · 0 st 5.13 MOS HF
High-clarity female voice
FEMALE · 0 st 5.12 MOS Direct
High-clarity female voice
FEMALE · 0 st 5.11 MOS HF
Libby Rue Better Nate Than Ever
High-clarity female voice
FEMALE · 0 st 5.10 MOS HF
Gallica Metaphor ReFantazio
High-clarity female voice
FEMALE · 0 st 5.10 MOS HF
High-clarity female voice
MALE · 0 st 5.09 MOS HF
Model Documentation & Notes

About NPIM Test Model - Nell (without pre-trained Model)

One of the questions many people have wondered about for a long time is, 'Is it possible to create a model without using a pre-trained model?' Recently, I haven't been able to focus much on this due to numerous modifications that needed to be made, but I can finally provide an answer. As the name suggests, NPIM stands for Non-Pretrained Independent Model. This means that this model is created purely from the voice data of the model itself, without the use of any pre-trained models. While it may not be efficient in many ways, it is possible if you have sufficient data. However, it requires a tremendous amount of time and data. Due to its inefficiency, using a pre-trained model is probably better for your mental well-being. Additionally, in most cases, lowering the index value allows the model to refer to data from the pre-trained model, enabling it to infer even when the model's own data is lacking. However, since this model is trained solely on its own dataset, in some cases, a higher index value may be required to reduce artifacts. Because the dataset is entirely composed of Korean, artifacts may occur in some pronunciations that are difficult to produce in Korean. > **Info ** Dataset : 275 mins (4.35 Hours) [Normal / Angry / Sad / Shout / Sing] Batch Size : 16 f0 method : RVMPE Total Epochs : 4200+ Epochs / 185000+ Sample Rate : 48khz VA : Chung Ah Han Model Link - https://huggingface.co/SeoulStreamingStation/RVC_Voice_Models/resolve/main/Nell_Test_NPIM.zip?download=true

Provenance & Open Access
Catalog ID:#29595
Weights Host:Hugging Face
Archive Size:78.6 MB
Rights & Safety: Report / Takedown