Name: Amahane Miran - Talking, TITAN Medium | AI RVC Model
Brand: Weights
Rating: 4.4 (4 reviews)

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Introducing the "Amahane Miran (VSinger) - Talking | RVC v2, 230 Epochs, TITAN Medium" AI Voice Model. This innovative model has been trained using the Applio 3.1.1 Dataset for an extensive length of 8 minutes, talking. This encompasses a comprehensive pretraining process and sample rate using a TITAN Medium 32k program. The F0 method utilized is Crepe with 8 hop length and the batch size is set to 8. Although Amahane Miran is known for her musical talent in singing and playing violin, this particular voice model focuses on her talking capabilities. Developed with advanced RVC (Retrieval-Based Voice Conversion) technology, our Weights company has optimized this model for AI music applications. Unleash your creativity by generating AI covers or by using this model for exceptional text-to-speech conversions. Experience the revolution in the AI Music world by taking advantage of our free AI tools now. Create remarkable AI covers swiftly and effortlessly, immersing yourself in the music-making process like never before.

using: Applio 3.1.1 Dataset length: 8 mins (talking) Pretrain & sample rate: TITAN Medium, 32k F0 method: Crepe (8 hop length) Batch size: 8 Note: she can sing and play violin (not related to this talking model). No singing vocal and violin model at this moment tho.

Amahane Miran - Talking, TITAN Medium

Amahane Miran (VSinger) - Talking | RVC v2, 230 Epochs, TITAN Medium

makidanye

using: Applio (main branch post 3.2.8-bugfix) Dataset length: 6 mins (talking) Pretrain, vocoder & sample rate: DMR v2, default hifigan, 32k F0 method: crepe (32 hop length) Embedder: contentvec (default) Batch size: 8 Training precision: fp32 Note: you can try other model checkpoints posted in the comment below.

Usada Pekora (Hololive), DMR

Usada Pekora (Hololive) | RVC v2, 202 Epochs, DMR v2

using: Applio 3.2.8 bugfix (no new vocoder) Dataset length: 20.5 minutes Pretrain & sample rate: KLM4.3x2, 32k F0 method: rmvpe Embedder: contentvec (default) Batch size: 8 Training precision: fp16 (default)

Amity Blight (The Owl House)

Amity Blight (The Owl House) | RVC v2, 219 Epochs

using: Hina's mainline Kaggle notebook Dataset length: 33.5 mins Pretrain & sample rate: Default, 32k F0 method: rmvpe Batch size: 8 Training precision: fp16 (default)

Kureiji Ollie (Hololive ID)

Kureiji Ollie (Hololive ID) | RVC v2, 273 Epochs

using: Hina's mainline Kaggle notebook Dataset length: 33.5 mins Pretrain & sample rate: Default, 40k F0 method: rmvpe Batch size: 8 Training precision: fp16 (default) Note: Has anime adaptation in summer 2024 but the dataset processed from the visual novel voicelines.

Minamo (ATRI -My Dear Moments

Minamo (ATRI -My Dear Moments-) | RVC v2, 183 Epochs

using: Hina's mainline Kaggle notebook Dataset length: 2 hours Pretrain & sample rate: Default, 40k F0 method: rmvpe Batch size: 8 Training precision: fp16 (default) Note: Has anime adaptation in summer 2024 but the dataset processed from the visual novel voicelines.

Amahane Miran - Talking, TITAN Medium

Description

Samples

Saiba Momoi (Blue Archive)

Adel imam (Egyptian Actor) عادل امام (ممثل مصري)

JP Furina / Focalors CV: Inori Minase (Genshin Impact)

Ariana Grande AI

Hu Tao JP (Genshin Impact)

JENNIE of BLACKPINK [Strong Ver.]

Saiba Momoi (Blue Archive) (VA: Tokui Sora)

Hatsune Miku

SpongeBob SquarePants (Talking And Singing)

Takanashi Hoshino (from Blue Archive)

Satoru Gojo (JJK) [VA Yuichi Nakamura]

ENHYPEN Heeseung

Sunaokami Shiroko (Blue Archive)

Goku (Mario Castañeda) (Latin American Spanish) (UPDATE)

Villager (Minecraft)

Mortis [Brawl stars]

Jungkook (BTS)

Melodie - (Brawl Stars) - (English & Korean Voices)

Tendou Arisu (Blue Archive)

Kanye West