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gladia-audio-intelligence

本 Skill 指导配置与使用 Gladia 音频智能:说话人分离、翻译、情感分析、命名实体识别、PII 脱敏、字幕、摘要、自定义词汇及音频转 LLM。适用于预录音频或实时转录中启用、组合功能,并判断各模式支持情况。输入为转录调用配置或会话参数,输出结构化转录结果、翻译、摘要、字幕等;优先官方 SDK,必要时回退 REST。

gladiaio
gladiaio
热度 48.89
最近更新 2026-10-02 23:09:34
分类:开发依赖:第三方 API / 内部调用大模型应用场景:API 集成 / 翻译 / 摘要总结 / 数据处理

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add gladia-audio-intelligence
Metadata
name
gladia-audio-intelligence
description
Configure and use Gladia audio intelligence features: speaker diarization, translation, sentiment analysis, named entity recognition (NER), PII redaction, subtitles (SRT/VTT), summarization, custom vocabulary, and audio-to-LLM. Use when the user asks about any audio intelligence feature, enabling features on pre-recorded or live transcription, understanding which features are available in each mode, or combining multiple features. Always prefer the official SDK; fall back to raw REST only when SDK cannot satisfy the requirement.
license
MIT

Audio Intelligence

Gladia's audio intelligence features extract structured data and insights from transcripts. They work on top of the base transcription — most are enabled by adding options to the transcribe() call (pre-recorded) or the startSession() config (live).

SDK-first: always use the official SDK — see gladia-sdk-integration for policy, setup, and fallback criteria.

When to Use

  • User asks about a specific feature: diarization, translation, PII redaction, sentiment, NER, subtitles, summarization, etc.
  • Enabling or configuring one or more audio intelligence features on pre-recorded or live transcription
  • Understanding which features are available in live vs pre-recorded mode
  • Combining multiple features in a single transcription job

When NOT to use: For basic transcription without audio intelligence features, go directly to gladia-pre-recorded-transcription or gladia-live-transcription. For gotchas and errors related to specific features, see gladia-troubleshooting.

References

Consult these resources as needed:

  • ./references/live-audio-intelligence.md -- Detailed config and WebSocket responses for all live-mode features
  • ./references/pre-recorded-audio-intelligence.md -- Detailed config and response structures for all pre-recorded audio intelligence features
  • ../gladia-pre-recorded-transcription/SKILL.md -- Pre-recorded transcription workflow and options
  • ../gladia-live-transcription/SKILL.md -- Live transcription session config and event handling
  • ../gladia-sdk-integration/SKILL.md -- SDK setup, client initialization, and SDK vs raw API decision guide
  • ../gladia-troubleshooting/SKILL.md -- Common errors, gotchas, and verification checklist

Feature Availability

Feature Pre-recorded Live Config key
Speaker diarization Yes No diarization
Translation Yes Yes translation
Sentiment analysis Yes Yes sentiment_analysis
Named entity recognition Yes Yes named_entity_recognition
Subtitles (SRT/VTT) Yes No subtitles
Custom vocabulary Yes Yes custom_vocabulary
PII redaction Yes No pii_redaction
Summarization Yes Yes summarization (post-process)
Audio-to-LLM Yes No audio_to_llm
Custom spelling Yes Yes custom_spelling
Custom metadata Yes Yes custom_metadata

Live features split into two groups: real-time (results stream during the session) and post-processing (results arrive after stopRecording()). See ./references/live-audio-intelligence.md for details.

Quick Config Examples

Code examples assume GladiaClient is already initialized — see gladia-sdk-integration for setup.

Speaker Diarization (pre-recorded only)

const result = await client.preRecorded().transcribe("audio.mp3", {
  diarization: true,
  diarization_config: { number_of_speakers: 2 },
});
// Each utterance includes a `speaker` field (0-indexed integer)
result = client.prerecorded().transcribe("audio.mp3", {
    "diarization": True,
    "diarization_config": {"number_of_speakers": 2},
})

Translation (pre-recorded and live)

Pre-recorded:

const result = await client.preRecorded().transcribe("audio.mp3", {
  translation: true,
  translation_config: { target_languages: ["fr", "es"] },
});
result = client.prerecorded().transcribe("audio.mp3", {
    "translation": True,
    "translation_config": {"target_languages": ["fr", "es"]},
})

Live (result streams as translation WebSocket events — see live-audio-intelligence.md):

const session = client.liveV2().startSession({
  // ... audio format options ...
  realtime_processing: {
    translation: true,
    translation_config: { target_languages: ["fr"] },
  },
});
from gladiaio_sdk import LiveV2InitRequest, LiveV2RealtimeProcessing

session = client.live().start_session(
    LiveV2InitRequest(
        # ... audio format options ...
        realtime_processing=LiveV2RealtimeProcessing(
            translation=True,
            translation_config={"target_languages": ["fr"]},
        ),
    )
)

Summarization (pre-recorded and live)

Pre-recorded:

const result = await client.preRecorded().transcribe("audio.mp3", {
  summarization: true,
  summarization_config: { type: "bullet_points" },
});

Live (arrives after stopRecording() as post_summarization event):

const session = client.liveV2().startSession({
  // ... audio format options ...
  post_processing: {
    summarization: true,
    summarization_config: { type: "bullet_points" },
  },
});
session.on("message", (msg) => {
  if (msg.type === "post_summarization") console.log(msg.data.results);
});

For full per-feature config options and response structures, see:

Common Mistakes

  • code_switching: true with empty languages: triggers evaluation across 100+ languages and causes frequent misdetections. Always provide 3-5 expected languages.
  • Custom vocabulary intensity above 0.6: values over 0.6 cause false positives where unrelated words get replaced. Keep at 0.4-0.6 and use pronunciations for better results.
  • Expecting diarization, PII redaction, subtitles, or audio-to-LLM in live mode: these four features are pre-recorded only.
  • Enabling chapterization: the feature is discontinued. The API still accepts the flag but ignores it and returns no chapters. For chapter-style output on pre-recorded audio, use audio_to_llm with a prompt that asks for chapters.
  • Enabling many features simultaneously without considering cost/latency: each enabled feature adds processing time. Enable only what you need; combine diarization + summarization + translation only when all are required.

For the full gotcha list, see gladia-troubleshooting.

Further Reading