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/install audio-recognition
Description
音频语音识别服务(Speech-to-Text)。当用户上传音频文件，需要将语音内容转换为文字，或需要识别音频中的特定信息（如关键词、歌曲名）时触发。 适用于：(1) 会议录音转写 (2) 音频内容提取 (3) 语音指令识别 (4) 音视频字幕生成
README (SKILL.md)
音频语音识别 (Audio Recognition)
将音频中的语音准确转写为文字，并能区分不同说话人。
核心能力
- 语音转文字 (Speech-to-Text)
- 说话人分离 (Diarization)
- 标点与断句优化
- 支持多语言识别
工作流程
1. 音频预处理
- 降噪处理
- 格式转换 (统一为16kHz/16bit PCM或MP3)
- 音量标准化
2. 声学特征提取
- 提取MFCC、FBANK等声学特征
- 用于后续ASR模型输入
3. ASR语音识别
- 使用ASR模型进行语音识别
- 生成文字初稿
- 支持模型：Whisper、WeNet、Paraformer等
4. 后处理
- 文字纠错
- 断句与标点添加
- 说话人分离标注
5. 输出结果
- 最终识别文本
- 说话人标签（如需要）
- 时间戳（如需要）
质量目标
- 准确率：95%以上（标准普通话录音）
- 实时性：支持实时和离线两种模式
限制说明
- 噪音限制：背景噪音过大时识别效果下降
- 口音限制：重度方言/口音可能影响准确率
- 隐私保护：用户上传的音频仅用于本次识别，不得用于模型训练或其他用途
- 语义理解：仅负责语音转文字，不理解文本语义内容
参考服务
- 讯飞听见
- Google Speech-to-Text
- 阿里云语音识别
- 腾讯云语音识别
适用场景
- 会议纪要自动生成
- 音频/视频字幕制作
- 语音内容检索
- 录音文件整理
Usage Guidance
This skill is a high-level spec for an audio speech-to-text pipeline and appears coherent, but it does not implement anything by itself. Before installing or enabling: (1) confirm which runtime or service the agent will actually use (local model vs cloud provider); (2) if it uses third-party cloud APIs, expect to need API keys and verify how audio is uploaded and stored — the SKILL.md's privacy promise is descriptive but not enforceable; (3) verify accuracy claims (95% for Mandarin) against your expected audio conditions; and (4) ensure you have legal/consent coverage for processing any sensitive audio.
Capability Analysis
Type: OpenClaw Skill
Name: audio-recognition
Version: 1.0.0
The skill bundle contains only metadata and documentation describing a standard audio-to-text (Speech-to-Text) workflow. There is no executable code, and the instructions in SKILL.md are purely descriptive of a legitimate service process without any signs of prompt injection, data exfiltration, or malicious intent.
Capability Assessment
Purpose & Capability
The name/description (speech-to-text, diarization, punctuation, multi-language) aligns with the SKILL.md content. The skill does not ask for unrelated credentials, binaries, or config paths.
Instruction Scope
The SKILL.md outlines preprocessing, feature extraction, ASR models (Whisper/WeNet/Paraformer), and postprocessing at a high level. It does not tell the agent to read unrelated files or exfiltrate data, but it is high-level and leaves implementation choices unspecified (e.g., which model/service to call), so runtime behavior depends on the agent environment and any integrations the agent has.
Install Mechanism
No install specification or code files are present — the skill is instruction-only, so nothing will be written or executed by default.
Credentials
The skill requires no environment variables or credentials as declared, which is coherent for a descriptive spec. However, real implementations often require API keys or local model binaries; the SKILL.md does not request them or describe secure handling, so users should verify how the agent will implement model calls.
Persistence & Privilege
always:false and default model invocation settings are used. The skill does not request persistent presence or system-level configuration changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install audio-recognition - After installation, invoke the skill by name or use
/audio-recognition - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the audio-recognition skill for speech-to-text tasks.
- Supports accurate transcription of audio to text with speaker diarization.
- Includes noise reduction, audio normalization, and multi-language recognition.
- Features robust post-processing: punctuation, error correction, and optional timestamps.
- Suitable for meeting transcriptions, subtitle generation, voice command recognition, and content extraction.
Metadata
Frequently Asked Questions
What is Audio Recognition?
音频语音识别服务(Speech-to-Text)。当用户上传音频文件，需要将语音内容转换为文字，或需要识别音频中的特定信息（如关键词、歌曲名）时触发。 适用于：(1) 会议录音转写 (2) 音频内容提取 (3) 语音指令识别 (4) 音视频字幕生成. It is an AI Agent Skill for Claude Code / OpenClaw, with 127 downloads so far.
How do I install Audio Recognition?
Run "/install audio-recognition" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Audio Recognition free?
Yes, Audio Recognition is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Audio Recognition support?
Audio Recognition is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Audio Recognition?
It is built and maintained by zzhimin (@zzhimin); the current version is v1.0.0.
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