築山とも Tsukiyama Tomo Name: "Tomo" 鞆 - can mean "wisdom," mind "or" friend. " Surname: "Tsukiyama" 築 山 - means "fictional hill". And it turns out that 築 山 鞆 (Tsukiyama Tomo) means a friend "wisdom" or "mind" of the fictional hill.
"Tsukiyama Tomo" is a virtual singer available in both Russian and Japanese languages, originally created for the UTAU program. His main feature is his smooth and deep low notes, allowing for expressive and atmospheric vocal performances.
In addition to UTAU, Tsukiyama Tomo is also supported in ACE Studio, DiffSinger, and RVC, making him a versatile vocalist suitable for a wide range of tasks from voice synthesis to flexible neural-based processing.
His voice fits perfectly into various musical genres such as pop, dance, rock, and many more.
Release date : 15/01/2016 BIRTHDAY : 14 August Voice provider : Huro Nomoe
We’re thrilled to announce that Tsukiyama Tomo AI has officially joined the ACE Studio voice library! 🎶✨ Now, creators worldwide can bring this unique vocal style to their music and projects with ease.
🔹 What’s special about Tsukiyama Tomo AI?
A distinct, expressive voice perfect for various genres.
Seamless integration with ACE Studio for high-quality vocal synthesis.
Open to all users—no waitlists or restrictions!
🎤 Ready to create? Head over to the official ACE Studio website and explore Tsukiyama Tomo in the creative voice library today!
This voice is only available with an ACE Studio subscription.
UTAU belongs to HuroNomoe. Voice Provider by HuroNomoe. OTO ini - CHR0MA | CH4 +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
■Recommended resampler - wavtool4vcv and EFB-GT ■Recommend flag (standard) - H0Y0B0L0F0c99
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ VC: a ch/i ch/u ch/a f/i f/u f/a j and others エッジ : - あ'/a あ'/a い'/i あ' and others Growl:(巻) - ら巻 and others
BRE: br/br1/br2/a -/a R and others
Tsukiyama Tomo CVC RUS
Kire OU
Virtual vocalist
UTAU belongs to HuroNomoe. Voice Provider by HuroNomoe. OTO ini - Purple Cherry Crow @LoverOfPurple +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
■Recommended resampler - wavtool4vcv and TIPS ( you can choose a more suitable resampler of your choice )
■Recommend flag (standard) - H0Y0B0L0F0c99
UTAU Tsukiyama Tomo Shades CVC RUS
Virtual vocalist
UTAU belongs to HuroNomoe. Voice Provider by HuroNomoe. "oto" by: Heiden.BZR
【Recommended resampler】: "wavtool4vcv and TIPS, tn_fnds009 and moresampler".
【Recommend flag】: "H0Y2B0F0L0".
Tsukiyama Tomo CVC RUS OLD
Virtual vocalist
UTAU belongs to HuroNomoe. Voice Provider by HuroNomoe. "oto" by: Heiden.BZR
【Recommended resampler】: "wavtool4vcv and TIPS".
【Recommend flag】: "Y0B0F2".
UTAU Tsukiyama Tomo Spanish VCCV Monopitch
Virtual vocalist
UTAU belongs to HuroNomoe. Voice Provider by HuroNomoe. OTO ini - Ryan-kun or ryanlanuza18@dA +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
■Recommended resampler - wavtool4vcv and TIPS and moresampler
■Recommend flag (standard) - F0Y0B0H0C0
Tsukiyama Tomo Japanese DeepVocal V1.0
Virtual vocalist
DeepVocalis a free to use singing synthesizer application software developed by Boxstar. It is the successor to the Sharpkey Galaxy software, which was a successor to the Sharpkey software.
Tsukiyama Tomo RVC AI
Virtual vocalist
RVC AI stands for Retrieval-based Voice Conversion Artificial Intelligence. It is a technology developed to transform one person's voice into another, using machine learning models and search methods to produce high-quality voice synthesis. It is commonly used for applications such as music covers, voiceovers, and dubbing. RVC AI achieves realistic results by learning the timbre and tonal qualities of the target voice from training data.
Tsukiyama Tomo AI SOVITS
Virtual vocalist
So-VITS-SVC (SoftVC VITS Singing) is an innovative neural network developed by the SVC-Develop-Team capable of generating high-quality vocal parts for songs.
The use of generative adversarial networks (GANs) and visual information transformers (VITs) ensures the most accurate voice synthesis.
So-VITS-SVC is ideal for creating vocal parts in various genres, including pop, rock, rap, and others. To use this neural network, you need to provide an audio file without vocals, from which a new vocal part will be synthesized.
This allows you to both create new compositions and improve the quality of existing recordings.