#290·kokoro

捐赠/资助德语

作者: DoS007创建于 2025年12月16日更新于 2026年9月19日

tl;dr: click on the link to add funding/donation for the German language.

I) Motivation for the German language in kokoro

I.1) Kokoro is the best quality openweight TTS

See, e.g. the leaderboards:

I.2) Kokoro is efficient (and fast, CPU only possible)

It can be run on CPU using streaming. Most of the even lesser openweight competitors use much more resources or may need a graphics card to even run the ai models (while still beeing less good). The current 10 top openweight tts on artificialanalysis are not suitable (see comparison table, using ai searches).

Comparison table
# Model Typical hardware requirements (inference) CPU real‑time viability* German support (out‑of‑the‑box)**
1 Kokoro 82M v1.0 Very small (~tens of M params). Runs on CPU or small GPU (≈2–4 GB VRAM). High – real‑time or near real‑time on a modern CPU. Unclear / probably no official DE voice in base models.
2 Fish Speech 1.5 Medium–large; GPU strongly recommended (≈10–12 GB VRAM for smooth use). Low – CPU works but far from real‑time. No clear German support; mainly EN/zh focus.
3 Maya1 Large multi‑billion‑param model; needs high‑end GPU (≥16 GB VRAM). Very low – practical real‑time on CPU not expected. Unclear – no solid public info about German at cutoff.
4 Chatterbox Several variants; Multilingual / Turbo ≈few‑hundred‑M params; GPU (≈8 GB) recommended, CPU possible. Medium – Turbo/distilled variant can approach RT on a strong CPU; full multilingual is slower. Yes – multilingual checkpoints explicitly include German.
5 Zonos‑v0.1 Medium–large; designed for GPU inference (≈8 GB+ VRAM recommended). Very low – CPU inference is slow, not interactive. No – appears English‑only in public releases.
6 VibeVoice 7B Very large (7B). Requires powerful GPU(s), typically ≥16–24 GB VRAM. Effectively none – CPU real‑time is not realistic. Likely multilingual, but exact DE status not confirmed.
7 OpenVoice v2 Medium; CPU possible but GPU (≈6–8 GB+ VRAM) recommended for cloning speed / latency. Low–medium – typical CPUs are slower than real‑time; strong CPU + heavy tuning might get close. Unclear – paper stresses EN/zh/ja; DE status uncertain.
8 Step TTS Mini Small / edge‑oriented; runs well on CPU or very small GPU (≈2–4 GB VRAM). High – explicitly designed to run fast on CPU. No official German – docs only confirm zh + EN.
9 XTTS v2 (Coqui) Medium; GPU with ≥8 GB VRAM recommended for smooth multilingual / cloning use. Low–medium – CPU possible but usually >RT latency. Yes – XTTS v2 is explicitly multilingual incl. German.
10 StyleTTS 2 Medium–large; practical use assumes GPU with ≈8–12 GB VRAM.