Use real model names on TTS pages, add upstream HuggingFace links
Replace generic engine names (Voice Cloning, Fast Synthesis, etc.) with actual model names (Qwen3-TTS, Piper TTS, XTTS v2, Silero TTS, Kokoro TTS) across all 6 TTS pages including titles, headers, and sidebar nav. Add upstream HuggingFace/GitHub links in technical details section of each engine subpage.
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@ -61,11 +61,11 @@
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<li><a href="/uncloseai-js.html">uncloseai.js Docs</a></li>
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<li><a href="/inference.html">Inference Setup</a></li>
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<li><a href="/text-to-speech.html" class="active">Text-to-Speech</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Voice Cloning</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Fast Synthesis</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">HD Cloning</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Multilingual CPU</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Lightweight</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Qwen3-TTS</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Piper TTS</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">XTTS v2</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Silero TTS</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Kokoro TTS</a></li>
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<li><a href="/crawler.html">Our Crawler</a></li>
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<li><a href="/languages" target="_blank">All Languages</a></li>
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<li><a href="https://shop.unturf.com/p/8486f492-a93e-11f0-b477-02dfe05770ee/uncloseai-machine-learning-reference-guide-to-inference-clients" target="_blank">Book</a></li>
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@ -151,21 +151,21 @@ client.audio.speech.create(
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<h2>The Five Engines</h2>
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<p>The dumpster is well-organized. Five TTS engines, each rescued from a different corner of open source, all running behind the same OpenAI-compatible API. Our public endpoint runs Voice Cloning. The other four are ready for anyone who clones the repo.</p>
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<p>Five TTS engines, each rescued from a different corner of open source, all running behind the same OpenAI-compatible API. Our public endpoint runs Qwen3-TTS. The other four are ready for anyone who clones the repo.</p>
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<h3><a href="/tts/voice-cloning.html">Voice Cloning</a> — <mark>Live</mark></h3>
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<h3><a href="/tts/voice-cloning.html">Qwen3-TTS</a> — <mark>Live</mark></h3>
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<p>42+ cloned voices, 10 languages, voice cloning from 3-second samples. 1.7 billion parameters, 97ms first-packet latency. This is what's running on our public endpoint right now.</p>
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<h3><a href="/tts/fast-synthesis.html">Fast Synthesis</a> — <small>Self-host</small></h3>
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<h3><a href="/tts/fast-synthesis.html">Piper TTS</a> — <small>Self-host</small></h3>
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<p>100+ English voices, CPU-only, ONNX runtime. The fastest engine in the dumpster — built for high-volume batch jobs and real-time applications where latency matters most.</p>
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<h3><a href="/tts/hd-cloning.html">HD Voice Cloning</a> — <small>Self-host</small></h3>
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<h3><a href="/tts/hd-cloning.html">XTTS v2</a> — <small>Self-host</small></h3>
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<p>Clone any voice from a 6-second sample across 16 languages. The highest fidelity option, rescued from the Coqui TTS project. Needs a GPU with ~4GB VRAM.</p>
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<h3><a href="/tts/multilingual-cpu.html">Multilingual CPU</a> — <small>Self-host</small></h3>
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<h3><a href="/tts/multilingual-cpu.html">Silero TTS</a> — <small>Self-host</small></h3>
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<p>148 voices across 5 languages, all running on CPU. English, Russian, German, Spanish, and French. Clean 48kHz output, no GPU required.</p>
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<h3><a href="/tts/lightweight.html">Lightweight</a> — <small>Self-host</small></h3>
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<h3><a href="/tts/lightweight.html">Kokoro TTS</a> — <small>Self-host</small></h3>
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<p>82 million parameters, 34 voices. Small enough for a Raspberry Pi or an edge device. Apache 2.0 licensed, 24kHz output.</p>
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<h2>Self-Hosting</h2>
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@ -6,7 +6,7 @@
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta name="theme-color" content="#43a047">
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<meta name="color-scheme" content="light dark">
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<title>Fast Synthesis Engine | uncloseai-speech | uncloseai.com</title>
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<title>Piper TTS | uncloseai-speech | uncloseai.com</title>
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<meta name="description" content="Piper TTS: real-time speech synthesis on CPU. 100+ English voices, ONNX runtime, no GPU required. Self-host with uncloseai-speech.">
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<link rel="stylesheet" href="/css/pico.classless.min.css">
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@ -54,11 +54,11 @@
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<li><a href="/uncloseai-js.html">uncloseai.js Docs</a></li>
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<li><a href="/inference.html">Inference Setup</a></li>
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<li><a href="/text-to-speech.html">Text-to-Speech</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Voice Cloning</a></li>
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<li><a href="/tts/fast-synthesis.html" class="active" style="padding-left:2em">Fast Synthesis</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">HD Cloning</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Multilingual CPU</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Lightweight</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Qwen3-TTS</a></li>
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<li><a href="/tts/fast-synthesis.html" class="active" style="padding-left:2em">Piper TTS</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">XTTS v2</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Silero TTS</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Kokoro TTS</a></li>
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<li><a href="/crawler.html">Our Crawler</a></li>
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<li><a href="/languages" target="_blank">All Languages</a></li>
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<li><a href="https://shop.unturf.com/p/8486f492-a93e-11f0-b477-02dfe05770ee/uncloseai-machine-learning-reference-guide-to-inference-clients" target="_blank">Book</a></li>
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@ -71,7 +71,7 @@
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<header>
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<hgroup>
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>Fast Synthesis Engine</p>
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<p>Piper TTS</p>
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</hgroup>
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<nav>
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<ul>
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@ -117,7 +117,7 @@ client.audio.speech.create(
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<li><strong>Runtime:</strong> ONNX (fast CPU inference)</li>
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<li><strong>Sample rate:</strong> 22.05kHz</li>
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<li><strong>Hardware:</strong> CPU only, no GPU needed</li>
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<li><strong>Upstream:</strong> Piper TTS / OHF-Voice fork</li>
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<li><strong>Upstream:</strong> <a href="https://huggingface.co/rhasspy/piper-voices" target="_blank">Piper TTS</a> / OHF-Voice fork</li>
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</ul>
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<h2>Self-Hosting</h2>
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@ -6,7 +6,7 @@
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta name="theme-color" content="#43a047">
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<meta name="color-scheme" content="light dark">
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<title>HD Voice Cloning Engine | uncloseai-speech | uncloseai.com</title>
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<title>XTTS v2 | uncloseai-speech | uncloseai.com</title>
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<meta name="description" content="XTTS v2: high-definition voice cloning from 6-second samples. 16 languages with auto-detection. Self-host with uncloseai-speech.">
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<link rel="stylesheet" href="/css/pico.classless.min.css">
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@ -54,11 +54,11 @@
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<li><a href="/uncloseai-js.html">uncloseai.js Docs</a></li>
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<li><a href="/inference.html">Inference Setup</a></li>
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<li><a href="/text-to-speech.html">Text-to-Speech</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Voice Cloning</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Fast Synthesis</a></li>
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<li><a href="/tts/hd-cloning.html" class="active" style="padding-left:2em">HD Cloning</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Multilingual CPU</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Lightweight</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Qwen3-TTS</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Piper TTS</a></li>
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<li><a href="/tts/hd-cloning.html" class="active" style="padding-left:2em">XTTS v2</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Silero TTS</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Kokoro TTS</a></li>
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<li><a href="/crawler.html">Our Crawler</a></li>
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<li><a href="/languages" target="_blank">All Languages</a></li>
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<li><a href="https://shop.unturf.com/p/8486f492-a93e-11f0-b477-02dfe05770ee/uncloseai-machine-learning-reference-guide-to-inference-clients" target="_blank">Book</a></li>
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@ -71,7 +71,7 @@
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<header>
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<hgroup>
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>HD Voice Cloning Engine</p>
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<p>XTTS v2</p>
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</hgroup>
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<nav>
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<ul>
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@ -137,7 +137,7 @@ cp my_voice_clean.wav ~/uncloseai-speech/voices/me.wav</code></pre>
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<li><strong>Languages:</strong> 16 with automatic detection</li>
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<li><strong>Voice cloning:</strong> From 6-second audio samples</li>
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<li><strong>Hardware:</strong> GPU required (~4GB VRAM)</li>
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<li><strong>Upstream:</strong> XTTS v2 / Coqui TTS (community-maintained)</li>
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<li><strong>Upstream:</strong> <a href="https://huggingface.co/coqui/XTTS-v2" target="_blank">XTTS v2 / Coqui TTS</a> (community-maintained)</li>
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</ul>
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<h2>Self-Hosting</h2>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta name="theme-color" content="#43a047">
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<meta name="color-scheme" content="light dark">
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<title>Lightweight Engine | uncloseai-speech | uncloseai.com</title>
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<title>Kokoro TTS | uncloseai-speech | uncloseai.com</title>
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<meta name="description" content="Kokoro TTS: 82M parameter decoder-only TTS. 34 voices, runs on edge devices and Raspberry Pi. Self-host with uncloseai-speech.">
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<link rel="stylesheet" href="/css/pico.classless.min.css">
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@ -54,11 +54,11 @@
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<li><a href="/uncloseai-js.html">uncloseai.js Docs</a></li>
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<li><a href="/inference.html">Inference Setup</a></li>
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<li><a href="/text-to-speech.html">Text-to-Speech</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Voice Cloning</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Fast Synthesis</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">HD Cloning</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Multilingual CPU</a></li>
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<li><a href="/tts/lightweight.html" class="active" style="padding-left:2em">Lightweight</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Qwen3-TTS</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Piper TTS</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">XTTS v2</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Silero TTS</a></li>
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<li><a href="/tts/lightweight.html" class="active" style="padding-left:2em">Kokoro TTS</a></li>
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<li><a href="/crawler.html">Our Crawler</a></li>
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<li><a href="/languages" target="_blank">All Languages</a></li>
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<li><a href="https://shop.unturf.com/p/8486f492-a93e-11f0-b477-02dfe05770ee/uncloseai-machine-learning-reference-guide-to-inference-clients" target="_blank">Book</a></li>
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@ -71,7 +71,7 @@
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<header>
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<hgroup>
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>Lightweight Engine</p>
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<p>Kokoro TTS</p>
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</hgroup>
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<nav>
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<ul>
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@ -118,7 +118,7 @@ client.audio.speech.create(
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<li><strong>License:</strong> Apache 2.0 (commercial use OK)</li>
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<li><strong>Sample rate:</strong> 24kHz</li>
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<li><strong>Hardware:</strong> CPU or GPU, minimal resources needed</li>
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<li><strong>Upstream:</strong> Kokoro TTS by Hexgrad</li>
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<li><strong>Upstream:</strong> <a href="https://huggingface.co/hexgrad/Kokoro-82M" target="_blank">Kokoro TTS by Hexgrad</a></li>
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</ul>
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<h2>Self-Hosting</h2>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta name="theme-color" content="#43a047">
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<meta name="color-scheme" content="light dark">
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<title>Multilingual CPU Engine | uncloseai-speech | uncloseai.com</title>
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<title>Silero TTS | uncloseai-speech | uncloseai.com</title>
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<meta name="description" content="Silero TTS: 148 voices across 5 languages, all on CPU. PyTorch, 48kHz output. Self-host with uncloseai-speech.">
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<link rel="stylesheet" href="/css/pico.classless.min.css">
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@ -54,11 +54,11 @@
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<li><a href="/uncloseai-js.html">uncloseai.js Docs</a></li>
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<li><a href="/inference.html">Inference Setup</a></li>
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<li><a href="/text-to-speech.html">Text-to-Speech</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Voice Cloning</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Fast Synthesis</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">HD Cloning</a></li>
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<li><a href="/tts/multilingual-cpu.html" class="active" style="padding-left:2em">Multilingual CPU</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Lightweight</a></li>
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<li><a href="/tts/voice-cloning.html" style="padding-left:2em">Qwen3-TTS</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Piper TTS</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">XTTS v2</a></li>
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<li><a href="/tts/multilingual-cpu.html" class="active" style="padding-left:2em">Silero TTS</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Kokoro TTS</a></li>
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<li><a href="/crawler.html">Our Crawler</a></li>
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<li><a href="/languages" target="_blank">All Languages</a></li>
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<li><a href="https://shop.unturf.com/p/8486f492-a93e-11f0-b477-02dfe05770ee/uncloseai-machine-learning-reference-guide-to-inference-clients" target="_blank">Book</a></li>
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@ -71,7 +71,7 @@
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<header>
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<hgroup>
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>Multilingual CPU Engine</p>
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<p>Silero TTS</p>
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</hgroup>
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<nav>
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<ul>
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<li><strong>Runtime:</strong> PyTorch (torch.hub)</li>
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<li><strong>Hardware:</strong> CPU only, no GPU needed</li>
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<li><strong>Model size:</strong> ~50-100MB per language</li>
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<li><strong>Upstream:</strong> Silero TTS, actively maintained</li>
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<li><strong>Upstream:</strong> <a href="https://github.com/snakers4/silero-models" target="_blank">Silero TTS</a>, actively maintained</li>
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</ul>
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<h2>Self-Hosting</h2>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta name="theme-color" content="#43a047">
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<meta name="color-scheme" content="light dark">
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<title>Voice Cloning Engine | uncloseai-speech | uncloseai.com</title>
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<title>Qwen3-TTS | uncloseai-speech | uncloseai.com</title>
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<meta name="description" content="State-of-the-art voice cloning from 3-second samples. 42+ built-in voices, 10 languages, 97ms latency. Live on our public endpoint.">
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<link rel="stylesheet" href="/css/pico.classless.min.css">
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@ -54,11 +54,11 @@
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<li><a href="/uncloseai-js.html">uncloseai.js Docs</a></li>
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<li><a href="/inference.html">Inference Setup</a></li>
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<li><a href="/text-to-speech.html">Text-to-Speech</a></li>
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<li><a href="/tts/voice-cloning.html" class="active" style="padding-left:2em">Voice Cloning</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Fast Synthesis</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">HD Cloning</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Multilingual CPU</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Lightweight</a></li>
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<li><a href="/tts/voice-cloning.html" class="active" style="padding-left:2em">Qwen3-TTS</a></li>
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<li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Piper TTS</a></li>
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">XTTS v2</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Silero TTS</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Kokoro TTS</a></li>
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||||
<li><a href="/crawler.html">Our Crawler</a></li>
|
||||
<li><a href="/languages" target="_blank">All Languages</a></li>
|
||||
<li><a href="https://shop.unturf.com/p/8486f492-a93e-11f0-b477-02dfe05770ee/uncloseai-machine-learning-reference-guide-to-inference-clients" target="_blank">Book</a></li>
|
||||
|
|
@ -71,7 +71,7 @@
|
|||
<header>
|
||||
<hgroup>
|
||||
<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
|
||||
<p>Voice Cloning Engine</p>
|
||||
<p>Qwen3-TTS</p>
|
||||
</hgroup>
|
||||
<nav>
|
||||
<ul>
|
||||
|
|
@ -144,7 +144,7 @@ client.audio.speech.create(
|
|||
<li><strong>Sample rate:</strong> 24kHz</li>
|
||||
<li><strong>Latency:</strong> 97ms first packet</li>
|
||||
<li><strong>Hardware:</strong> GPU recommended, runs on CPU (slower)</li>
|
||||
<li><strong>Upstream:</strong> Qwen3-TTS by Alibaba, actively maintained</li>
|
||||
<li><strong>Upstream:</strong> <a href="https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-Base" target="_blank">Qwen3-TTS by Alibaba</a>, actively maintained</li>
|
||||
</ul>
|
||||
|
||||
<h2>Self-Hosting</h2>
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue