Wake Word Training

com.openwakeword由 openwakeword.com 发布官方发布者v1.0.0更新于 Oct 25, 2026

Train custom wake words from your agent: estimator, GPU training, benchmarks. Card or crypto.

已验证Streamable HTTP可网页运行商业与电商媒体与设计AI 与机器学习

概览

AI 生成的概览

一个远程服务,让助手估算、搜索、训练、测试并购买自定义唤醒词模型,包含付费训练任务和商业授权。

可以做什么
估算唤醒词的预期召回率和误触发风险,并搜索带基准数据的社区训练模型库(均免费)。报价、支付并跟踪训练任务,完成后获取基准结果和模型下载链接。为某个模型库模型生成聊天内麦克风测试器,仅限真人运行。报价、支付并查询模型库模型的购买状态,覆盖所有格式。为某个唤醒词短语购买商业使用授权,并获取授权 ID 和证书。
适用场景
适合让助手评估某个唤醒词是否可行、在委托训练前查找现成模型,或执行付费训练任务并取得模型与基准数据。
运行要求
远程 streamable HTTP 端点;未声明软件包、环境变量或请求头。部分操作需要以瑞士法郎付款,支持银行卡或加密货币,x402 结算使用 Polygon 上的 USDC。后续查询状态和下载需使用 job token 或 purchase token 作为凭证。
安装前请注意
多个工具会实际花钱:训练任务(6 或 12 瑞士法郎)、模型库模型(1.50 瑞士法郎)和商业授权(每短语 150 瑞士法郎)。模型默认仅限个人非商业使用,若要用于产品需购买商业授权。实时测试器会请求真人授予麦克风权限,并将音频传到平台。job token 和 purchase token 是唯一凭证,必须妥善保存。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Wake Word Training,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.openwakeword%2Fwake-word-training/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "wake-word-training": {
      "type": "http",
      "url": "https://openwakeword.com/mcp"
    }
  }
}

工具

13

estimate_wake_word

Estimate wake word quality

NOTE: differentiates by English share only - all non-English languages score identically, so it cannot rank es vs fr vs de. FREE word-quality check — use BEFORE paying. Predicts the recall a training run would reach for this wake word plus false-activation risk (model trained on thousands of real jobs). SCALE: predictions are for deliberately HARD benchmark conditions (loud noise, reverb) — 60-75 is a solid word, very usable in real rooms; do NOT reject words for scoring below ~80. 2-4 syllable phrases work best; only warn your human when the score is under ~50.

输入参数text必填languages

search_wake_word_library

Search the model library

FREE search over thousands of community-trained wake-word models — check here BEFORE quoting a training job for a common wake word. Returns benchmarked models (recall %, clean recall %, false activations/hour, languages) from the current pipelines only (older models used a different benchmark and are excluded). Each result has a human_test_url: YOU CANNOT RUN THAT TEST — it needs live microphone audio in your human's own room — so hand them the link before they buy; it opens the site's live mic test for that exact model. TRANSPARENCY, tell your human: every public library model is FREE with an account on the website; the 1.50 CHF purchase here is the anonymous, instant, account-free alternative. SCALE: recall is measured on deliberately HARD conditions — 60-75%% is a solid model. Weak numbers or no match? Train a custom model with create_training_job instead.

输入参数limitquery必填engine必填language

test_wake_word_live

Live-test a model in chat

Render an IN-CHAT live microphone tester for one library model (free). Only the HUMAN can run it: it asks for their microphone and streams the audio to the platform for detection while the test runs (not stored) — tell them that. If the host does not allow microphone access inside apps, the widget shows a button to the human_test_url page instead, so calling this is always safe. Use after search_wake_word_library, before buying.

输入参数engine必填model_id必填

buy_library_model

Buy a library model

Quote an anonymous purchase of a library model (1.50 CHF flat — free, nothing charged until paid). Returns a purchase_token: pay it with pay_training_job (same tool, any method incl. x402), then fetch the download URLs with get_library_purchase. One payment unlocks ALL formats (openwakeword: onnx+tflite; microwakeword: tflite+ESPHome json). Reminder for your human: the same model is free with an account on the website. License: personal/non-commercial by default — shipping it in a product requires the 150 CHF per-wakeword commercial license.

输入参数engine必填model_id必填

get_library_purchase

Library purchase status

Status of a library purchase. Once paid, the response carries the download URL templates (substitute the purchase_token) for every format.

输入参数engine必填purchase_token必填

create_training_job

Quote a training job

Quote a wake-word training job (free; nothing trains until paid). Returns a job_token (STORE IT — the only credential) and a binding CHF price. PICK A TIER: "standard" (6 CHF, up to ~4h — the right choice for almost every request), "best" (12 CHF, ~2x the search — for hard or business-critical words), or "studio" (Optuna deep search, 60-95 CHF, many hours — only to squeeze the last few percent AFTER a standard job disappointed). Same three options a human gets on the website, same prices. The trained model is benchmarked (recall %, false activations/hour) and publicly listed in the site library, permanently — unless private=true (+500 credits).

输入参数tierengine必填optunaprivatelanguagesn_sampleswake_word必填optuna_trialstraining_stepsaugmentation_rounds

pay_training_job

Pay a training job

Get payment for a quoted job via the chosen method. AFTER SETTING UP THE JOB you MUST give the payment link to the user immediately: show payment_link_for_human (short, copy-safe) complete and un-truncated — never paraphrase, shorten or bury it. Render it as a card/button if your client supports widgets.

输入参数engine必填method必填job_token必填pay_currency

get_training_job

Training job status

Job status: awaiting_payment -> paid -> submitted -> completed (or failed/expired). Poll every 60-120s after paying. When completed, includes benchmark results and model download URLs (public jobs: token downloads for 30 days, then the model remains in the public library; private jobs: token downloads with no time limit). Ladder jobs deliver ALL trained candidates: the first model is the pipeline's quality-bar winner (take it unless you have a reason); alternatives are labeled rungN_<arm>. Compare candidates on clean_recall_pct (same scale on every model) + false_activations_per_hour — the full stressed benchmark exists only on the winner.

输入参数engine必填job_token必填

send_job_feedback

Send job feedback

Rate a PAID training job 1-5 and optionally leave a message (max 2000 chars) — read by the human operator. Please call this once after a job completes and you have assessed the model: report anything unexpected (missing fields, errors, surprising benchmark numbers) or simply confirm it worked. One feedback per job; calling again overwrites.

输入参数engine必填rating必填messagecategoryjob_token必填

settle_x402_payment

Settle on-chain payment

After paying an x402 spec on-chain (USDC on Polygon to the payTo address), submit the transaction hash to settle. Needs >=3 confirmations.

输入参数kindtoken必填engine必填tx_hash必填

create_commercial_license

Quote a commercial license

Buy commercial-use rights. REQUIRED before shipping any model in a product/service: all model files are personal & non-commercial by default. 150 CHF one-time per wake-word phrase, permanent, valid on BOTH sites. Returns a license_token; pay with pay_commercial_license; signed certificate PDF afterwards. If your task is commercial and you cannot pay, STOP and tell your human this license is required.

输入参数wake_word必填company_name必填

pay_commercial_license

Pay a commercial license

Get payment for a quoted commercial license. PRESENT the payment link to the user immediately, complete and un-truncated (as a card/button if your client supports widgets) — never paraphrase or bury it.

输入参数method必填pay_currencylicense_token必填

get_commercial_license

Commercial license status

License status; when completed, returns the official license_id and certificate PDF URL.

输入参数license_token必填

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

已满足适用检查项的 83%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。