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Model ID #25644 · Canonical Slug /model/1rDKgRddf0U
RVC v2
· 020 Epochs
Ikuyo Kita
From Bocchi the Rock!
RVC v2
020 Epochs
Added Mar 2, 2024
★ 5 saved
https://huggingface.co/KJAV/RVC/resolve/main/IkuyoKita.zip?download=true
Original uploaded URL returned HTTP 404 (huggingface.co/KJAV/RVC/IkuyoKita.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: Ikuyo Kita (From Bocchi the Rock!) (Ov2Super) (1,020 Epochs)
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
· Training: 020 Epochs · Source Host: Hugging Face
Auditory Discovery · Close Alternatives
Voices That Sound Like Ikuyo Kita
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 Ikuyo Kita (From Bocchi the Rock!) (Ov2Super) (1,020 Epochs)
# SET SEARCH RATIO TO 0
Dataset: Processed by Me, 7 Minutes 36 Seconds. From the album 『Kessoku Band』
Dataset Pitch Range: G#3 ~ C#5
Model: Trained by Me
Batch Size: 6
1,020 Epochs / 29,580 Steps
Link: <https://huggingface.co/KJAV/RVC/resolve/main/IkuyoKita.zip>
* Official instrumentals were used to separate the voice from the song.
For my models, roadmap, and about North East Asian RVC Hub, please visit <https://huggingface.co/KJAV/RVC>.
Provenance & Open Access
Catalog ID: #25644
Weights Host: Hugging Face