Supertonic TTS: The Lightning-Fast On-Device Text-to-Speech Revolution in 2025
1 hours ago 高效码农Supertonic: The Lightning-Fast, Fully On-Device TTS That Actually Works in 2025 Core Question: What exactly is Supertonic, and why is it running 100–167× faster than real-time on a laptop or phone — completely offline? Supertonic is a 66-million-parameter text-to-speech (TTS) model released by Supertone in 2025. Built for extreme on-device performance and powered by ONNX Runtime, it runs 100% locally on everything from smartphones to browsers — no cloud, no API keys, no privacy trade-offs. With just 2 inference steps it already sounds production-ready, and on Apple M4 Pro it hits an insane 167× real-time speed. Why Supertonic Changes Everything: …
NeuTTS Air: Break Free from Cloud TTS with Real-Time On-Device Voice Cloning
1 months ago 高效码农NeuTTS Air: Break Free from Cloud Dependencies with Real-Time On-Device Voice Cloning Remember those slow, privacy-concerning cloud voice APIs that always required an internet connection? As developers, we’ve all struggled with them—until now. Today, I’m introducing a game-changing tool: NeuTTS Air. This is the world’s first ultra-realistic text-to-speech model that runs entirely on local devices, supports instant voice cloning, and delivers real-time performance on your phone, laptop, or even Raspberry Pi. Why NeuTTS Air Is So Revolutionary Imagine cloning anyone’s voice with just 3 seconds of audio sample. No internet connection required—everything runs locally. The generated speech sounds so natural …
EmbeddingGemma: Revolutionizing On-Device Embeddings with Open-Source Excellence | Google’s Compact AI Breakthrough for Multilingual Text Processing
2 months ago 高效码农EmbeddingGemma: Revolutionizing On-Device Embeddings with Open-Source Excellence EmbeddingGemma_Banner Introduction: The New Standard for Efficient Text Embeddings What makes an embedding model truly effective for on-device deployment? EmbeddingGemma answers this question by delivering best-in-class performance in a compact 308 million parameter package, specifically designed to run efficiently on consumer hardware without compromising capability. In an era where privacy concerns and offline functionality are increasingly important, EmbeddingGemma represents a significant breakthrough. This open embedding model enables developers to build applications featuring Retrieval Augmented Generation (RAG) and semantic search that operate directly on devices, ensuring user data never leaves their hardware while maintaining …