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Model ID #28180 · Canonical Slug /model/1uffxhs13kP
RVC v2
· RMVPE
Eomong Korean Vtuber
이오몽
RVC v2
RMVPE
Korean
Added Jun 7, 2024
★ 4 saved
https://huggingface.co/SeoulStreamingStation/IU-Voice-MultiLanguage-V1/resolve/main/Eomong_V1.zip%3Fdownload%3Dtrue?download=true
Original uploaded URL returned HTTP 404 (huggingface.co/SeoulStreamingStation/…/Eomong_V1.zip ) — automatically resolved to verified archive mirror above.
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
🎵 AI Song Cover / Singing
Auto vocal stem separation + instrumental remix
🎙️ Speech, TTS & Voiceover
Convert uploaded voice clip or microphone audio
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 Ref
-16
play
-12
play
-8
play
-4
play
0
play
+4
play
+8
play
+12
play
+16
play
Male Ref
-16
play
-12
play
-8
play
-4
play
0
play
+4
play
+8
play
+12
play
+16
play
Audible Female
Audible Male
Raw model title: Eomong (이오몽) Korean Vtuber [RVC2 / RMVPE / KLM4]
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
· Pitch Extractor: RMVPE · Source Host: Hugging Face
Auditory Discovery · Close Alternatives
Voices That Sound Like Eomong Korean Vtuber
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
High-clarity female voice
FEMALE · 0 st
5.10 MOS
HF
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 Eomong (이오몽) Korean Vtuber [RVC2 / RMVPE / KLM4]
Model Name - 이오몽 (대한민국 버튜버)
Train info :
RVC 2 / RVMPE
125 Epochs
Batch size per GPU : 12
Total Steps :
Dataset - source Info :
4 Mins of Speech
Dataset - source correction :
Pretrained by KLM 4
Hubert
Model Link - https://huggingface.co/SeoulStreamingStation/IU-Voice-MultiLanguage-V1/resolve/main/Eomong_V1.zip?download=true
Provenance & Open Access
Catalog ID: #28180
Weights Host: Hugging Face