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irodori-tts-coreml

Community Core ML runtime, Swift SDK, and iOS/macOS samples for Irodori TTS v4.1 Small MF.

This is 1 of 97 launches in local and on-device AI runtimes — see how it stacks up on momentum and crowding →

102 other launches read as similar to this one →

Details

External ID
1403961631
Source
GITHUB
Company
—
Product
irodori-tts-coreml
Website domain
huggingface.co
Launched
Oct. 4, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.251863684771033
Tags
—
Fetched at
Oct. 5, 2026, 1:02 a.m.
Updated at
Oct. 5, 2026, 1:02 a.m.

Enrichment

Theme
local and on-device AI runtimes
Vertical
Media & entertainment
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
core ml runtime and swift sdk for irodori text-to-speech
Manually corrected
False

Could you build this?

Partial Converting an existing PyTorch TTS model to Core ML and building a Swift wrapper is largely mechanical, but optimizing multi-model pipelines (15 Core ML programs, custom tokenizers, neural vocoders) to run smoothly on Apple Silicon requires specialized ML compiler knowledge.

What it would actually take: The stack relies on coremltools, PyTorch, and Swift with Apple's Accelerate and CoreML frameworks. The challenging components include handling dynamic tensor shapes across multi-stage transformer networks, quantizing weights without audio artifacting, and integrating a custom Japanese text tokenizer (such as ModernBERT/Mecab) natively in Swift.

Competitors

Other products that read as similar to this one — 102 launches clear the similarity bar, closest 8 shown.

Attention rank: #87 of 103 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 311 days after the earliest competitor.

Other launches for this product

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