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real-nepali-v0.2-kala

ampixa

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Speech synthesis

Input Text→ Output Audio

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***sano*** (सानो) — Nepali for **"small."** A family of tiny neural text-to-speech voices — **294k to 2.27M parameters** — that run with **no cloud and no NPU**: real-time on a ~$3 ESP32-S3 (out a GPIO into an LM386 and a speaker), or live in the browser via WASM. **Live demo:** tts.ampixa.com/sanoTTS — every voice synthesizes your text live in the browser, no server, no upload. Python needs `sanotts` >= 0.3.0, the browser `sanotts-web` >= 0.3.0. Both fall back to the GitHub releases or the Pages host if Hugging Face cannot be reached, so an outage here cannot break an install. Python packages land in `~/.cache/sanotts/`; set `SANOTTS_VOICE_SOURCE=hf` or `=github` to pin one host. In the browser, passing `voiceBase` yourself turns the fallback off, so a self-hosted deployment never quietly reaches back to our servers.

Speech synthesis

Input Text→ Output Audio

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Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

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real-nepali-v0.2-kala

sanoTTS

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