Piper TTS
A fast, CPU-only neural TTS engine from Rhasspy that runs entirely offline, even on a Raspberry Pi.
Wrap yako tenzi mu SSML tags kuti zvive nyore kudzora:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags iyo yakasarudzwa model inonzwisiswa — tinya kuti utore imwe muchinyorwa chako apo inoitika:
Iyi modhi inoverenga chete mazita ezvinyorwa, saka zvinyorwa zvinonyorwa mumitsara hazvina kutariswa. Kuti uwane pfungwa dziri mumitsara, chinja kune imwe modhi inoratidza pfungwa seOrpheus kana Bark.
Define custom pronunciations (word = pronunciation):
Chii Piper
Piper was built by the Rhasspy project to bring neural text-to-speech to edge devices that have no GPU. It pairs a VITS-style synthesizer with the Larynx pipeline and runs as a compact ~15M-parameter ONNX model directly on CPU, so synthesis happens locally with no cloud round-trip. Its strength is breadth and footprint: over 100 voices spanning 35+ languages at real-time speed on hardware as modest as a Pi 4. That makes it the practical default for home automation, accessibility readers, and offline kiosks where latency, privacy, and zero hosting cost matter more than studio polish.
Yakanaka kune: Quick previews, accessibility, and embedded applications
Tarisa zvese Piper mazwiMufananidzo
- Developer
- Rhasspy
- License
- MIT
- Tier
- free
- Speed
- fast
- Kutaura
- Hapana
- Zvinhu
- English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Chinese, Arabic, Czech, Danish, Finnish, Greek, Hungarian, Icelandic, Georgian, Kazakh, Nepali, Norwegian, Romanian, Slovak, Serbian, Swedish, Swahili, Turkish, Ukrainian, Vietnamese, CA, CY, FA, Latvian, Slovenian, LB, Basque, Indonesian, Kurdish, Malayalam, Albanian, Telugu, Urdu
- Max characters
- 2000