Skill ディレクトリ

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すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: singing-synthesis

英語版ディレクトリ

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

13K
Stars
87/100
信頼
カテゴリ: design-creative監査

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

8.3K
Stars
86/100
信頼
カテゴリ: media-automation監査

Offline Text To Speech synthesis for python

2.5K
Stars
80/100
信頼
カテゴリ: media-automation監査

Your AI Game Dev Hub. The ultimate resource hub for AI-powered game development tools. Discover cutting-edge LLMs, World Model, Agent, Code, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥

1.2K
Stars
84/100
信頼
カテゴリ: agent-frameworks監査

[CVPR 2025] MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis

2.2K
Stars
79/100
信頼
カテゴリ: robotics-iot監査

Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.

1.9K
Stars
83/100
信頼
カテゴリ: media-automation監査

[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

1.6K
Stars
83/100
信頼
カテゴリ: media-automation監査

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

34K
Stars
77/100
信頼
カテゴリ: research監査

A comprehensive ComfyUI integration for Microsoft's VibeVoice text-to-speech model, enabling high-quality single and multi-speaker voice synthesis directly within your ComfyUI workflows.

1.5K
Stars
76/100
信頼
カテゴリ: media-automation監査

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

4.8K
Stars
72/100
信頼
カテゴリ: media-automation監査

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

4.0K
Stars
72/100
信頼
カテゴリ: media-automation監査

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

3.0K
Stars
72/100
信頼
カテゴリ: ml-automation監査