oruk Speech

ai.oruk由 oruk.ai 发布官方发布者v1.0.1更新于 Oct 24, 2026

Hosted speech-to-text + speech emotion/tone analysis for agents. No install; trial keys built in.

已验证Streamable HTTP可网页运行数据与分析媒体与设计AI 与机器学习

概览

AI 生成的概览

让助手转写英文语音,并分析说话的情绪与语气。

可以做什么
提供托管的英文语音处理工具:可将预录音频转成带时间段落和词级时间戳的文字,也可在一次调用中同时转写并标注情绪与说话风格分数。另有只评分语气、不做转写的工具,以及查询模型与方案、检查 API 密钥用量、生成临时试用密钥和获取入门说明的辅助工具。
适用场景
当助手需要把英文语音转成文字,或判断一段录音的语气与情绪时使用,例如会议、客服通话、访谈和语音备忘。若只需要逐字稿,可改用单纯转写工具;若只想了解说话方式而不需要内容,则用语气评分工具。
运行要求
远程服务,无需安装。使用转写与语气分析需在 Authorization 请求头提供 oruk API 密钥;查询模型、入门说明和生成临时试用密钥可不带密钥。音频可通过网址或 base64 提供,需要网络连接。
安装前请注意
转写与语气分析会把音频发送到第三方服务,内容敏感时请先确认。Authorization 请求头含 API 密钥,请妥善保管;用量会消耗套餐额度。临时试用密钥有次数和时间限制,并共用有上限的预算。迁移规划工具明确不应发送源代码、路径、音频或凭证。

安装

在 SourceWeft 中

  1. 打开 控制台中的 oruk Speech,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/ai.oruk%2Fspeech/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": {
    "oruk-speech": {
      "type": "http",
      "url": "https://oruk.ai/mcp"
    }
  }
}

工具

8

oruk_plan_hume_migration

Plan a local Hume batch migration

Return bounded planning guidance from redacted enums and counts only. No key is needed. Never send source, paths, audio, credentials or provider responses. This does not inspect customer code, generate or apply a patch, run inference, validate score equivalence or complete a migration; the separate local planner performs source-bound proposal work.

输入参数python_sdk必填native_model必填source_shape必填schema_version必填selected_files必填request_identity必填prosody_only_literal必填other_batch_operations必填

oruk_analyze_speech

Analyze speech (transcript + tone)

Transcribe English audio AND score how it was said in one call: transcript, tagged transcript, selected scores from 15 emotion and 16 speaking-style labels, and time-local segments. Use this when the user cares about both the words and the delivery — meetings, support calls, interviews, voice notes. Accepts wav/flac/mp3/m4a/ogg/webm. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Returns compact summaries by default. For words only use oruk_transcribe_audio; for tone only use oruk_analyze_tone.

输入参数modeldetailapi_keydiarizefilenameaudio_urlaudio_base64

oruk_transcribe_audio

Transcribe audio

Transcribe prerecorded English audio to text with time-ordered segments and word timings. Use this when only the words matter. Accepts wav/flac/mp3/m4a/ogg/webm. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Does not score emotion or tone — use oruk_analyze_speech for transcript + tone together, or oruk_analyze_tone for tone alone.

输入参数modeldetailapi_keydiarizefilenameaudio_urlaudio_base64

oruk_analyze_tone

Analyze vocal tone and emotion

Score how speech sounds without transcribing it: selected emotion (happy, frustrated, worried, …) and speaking-style (sarcastic, confident, hesitant, warm, …) scores per acoustic segment. Runs the Resonance encoder and affect head only — the transcription decoder is never invoked, so nothing is transcribed and it consumes the same subscription audio minutes as unified analysis. Use this when the user asks about mood, delivery, sentiment, sarcasm, or emotional dynamics in audio. Up to 30 MB via audio_url or 8 MiB decoded via audio_base64; up to 60 minutes of English speech. Labels use model-specific thresholds; the highest-scoring emotion is returned if none passes, and styles can be empty. Outputs describe delivery, not probabilities of inner state. Need the words too? Use oruk_analyze_speech.

输入参数modeldetailapi_keydiarizefilenameaudio_urlaudio_base64

oruk_check_usage

Check API key, subscription, and usage

Verify that an Oruk API key works and report the subscription, remaining audio minutes, and recent API usage. Use this after setup or to diagnose access and usage limits. Requires the Authorization header from your MCP config or a temporary api_key.

输入参数api_key

oruk_create_trial_key

Create a free trial API key

Mint a real, temporary oruk API key with no account required: 3 requests, expires in 30 minutes, spends from a capped shared budget. Use this when no Authorization header is configured and the user wants to try transcription or tone analysis right now. Pass the returned key as the api_key argument of the audio tools. Share the signup link with the user so they can keep using oruk afterwards (7-day free trial on self-serve plans).

无需输入参数。

oruk_list_models

List models, pricing, and labels

List oruk’s speech models with lifecycle, current subscription plans, and explicitly labeled legacy reference rates, the five API tasks, the 15 emotion and 16 speaking-style labels, and audio limits. No API key required. Use this to choose a model, estimate cost before analyzing long audio, or see which labels exist.

无需输入参数。

oruk_get_started

Get started with oruk

Quickstart for the oruk Speech API and this MCP server: how to get an API key, per-client MCP configuration snippets, SDK install commands, and an optional routing rule the user can add to their agent instructions. No API key required. Use this when setting oruk up for the first time or when the user asks how oruk works.

无需输入参数。

版本历史

1
  1. v1.0.1最新Sep 16, 2026

评分

已满足适用检查项的 83%

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  • 描述必需15 分
  • 图标10 分
  • 文档15 分

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