171 lines
8.2 KiB
HTML
171 lines
8.2 KiB
HTML
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permacomputer.com, an always-on computer by the people, for the people.
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>Piper TTS</p>
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<p><strong>Self-host</strong> — Not on the public endpoint. Clone the repo to use this engine.</p>
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<h2>What It Does</h2>
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<p>When you need speed over everything else. This engine runs entirely on CPU with no GPU required, producing speech in real-time. It's the fastest engine in the raccoon dumpster — built on the Piper project, which we rescued and maintain.</p>
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<p>Over 100 English voices are available through LibriTTS voice models. The output is clean 22.05kHz audio, synthesized through an ONNX runtime that runs on virtually any hardware.</p>
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<p>If you're building a high-volume batch pipeline, a real-time assistant, or anything where latency matters more than naturalness, this is your engine.</p>
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<h2>Example</h2>
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<p>Once self-hosted and enabled, it works through the same OpenAI-compatible API:</p>
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<pre><code class="python">from openai import OpenAI
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client = OpenAI(
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api_key="not-needed",
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base_url="http://localhost:8000/v1"
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)
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# Piper voices use the tts-1 model
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client.audio.speech.create(
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model="tts-1",
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voice="alloy",
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input="Rescued from the dumpster, running at full speed. No GPU needed, just pure CPU synthesis."
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).stream_to_file("piper.mp3")</code></pre>
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<h2>Technical Details</h2>
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<ul>
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<li><strong>Voices:</strong> 100+ English voices (LibriTTS, Amy, Arctic, and more)</li>
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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> <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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<p>Enable Piper by downloading voice models and adding them to your config:</p>
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<pre><code class="bash">git clone https://git.unturf.com/engineering/unturf/uncloseai-speech.git
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cd uncloseai-speech
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make deploy
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make voices-piper</code></pre>
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<p>Then uncomment the <code>tts-1</code> section in <code>voice_to_speaker.default.yaml</code> and restart.</p>
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<p><a href="/text-to-speech.html"><strong>← Back to Text-to-Speech overview</strong></a></p>
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