tts-voiceover

作者: microsoft

使用 Azure Speech SDK 搭配 SSML 發音控制,從 YAML 講者筆記生成文字轉語音旁白

npx skills add https://github.com/microsoft/hve-core --skill tts-voiceover

TTS Voice Over Skill

Generates per-slide WAV voice-over files from YAML speaker_notes using Azure AI Speech neural voices with SSML pronunciation control.

Overview

This skill reads content.yaml files from a slide content directory (slide-NNN/content.yaml), extracts speaker_notes fields, applies acronym aliases for correct pronunciation of technical terms, and produces one WAV file per slide. Supports dry-run mode for SSML template verification without Azure credentials.

Synthesis uses Azure AI Speech neural voices, including the HD voices such as en-US-Andrew:DragonHDLatestNeural. HD voices are offered in a subset of Azure regions; check the Speech service regions before choosing SPEECH_REGION.

Narration produced by this skill is synthetic. Tell listeners that the voice is AI-generated, following Microsoft's disclosure design guidelines for synthetic voices. HVE demo-material CI does not synthesize speech; it generates silent videos.

Prerequisites

  • Azure Speech resource: see Azure AI Speech pricing for the free-tier allowance and HD voice rates.
  • Authentication: Microsoft Entra ID (SPEECH_RESOURCE_ID, recommended) or a resource key (SPEECH_KEY).
  • Region: SPEECH_REGION is required for synthesis and has no default. Dry-run mode does not need it.
  • Python 3.11+ with uv for virtual environment management.
  • Data handling note: Speaker-notes content is transmitted to the configured SPEECH_REGION for synthesis. For prebuilt neural voices, Microsoft states that neither the input text nor the output audio is stored in Microsoft logs; see Data, privacy, and security for text to speech. Operators must still set an approved region and avoid sending regulated or confidential narration.

Microsoft Entra ID Auth (Recommended)

Entra ID avoids storing a long-lived key. It requires a custom domain on the Speech resource and the Cognitive Services Speech User role for the signed-in identity. The script resolves the identity through DefaultAzureCredential, so an az login session, a managed identity, or a GitHub Actions OIDC login through azure/login all work.

export SPEECH_RESOURCE_ID="/subscriptions/.../Microsoft.CognitiveServices/accounts/your-resource"
export SPEECH_REGION="eastus"

Key-Based Auth

export SPEECH_KEY="your-speech-key"
export SPEECH_REGION="eastus"

When both SPEECH_KEY and SPEECH_RESOURCE_ID are set, the script warns and uses the key. Unset SPEECH_KEY to use Entra ID.

Install dependencies:

# run from this skill folder
uv sync

Quick Start

Verify SSML templates without generating audio:

uv run scripts/generate_voiceover.py --dry-run --content-dir path/to/content

Generate voice-over WAV files:

uv run scripts/generate_voiceover.py --content-dir path/to/content --output-dir voice-over

Use demo-video to combine the WAV files with approved frames or clips. Use hve-slides for HTML presentations and hve-demo-material for the HTML/frame/MP4/caption workflow. Audio embedding into presentation files is retired.

Parameters Reference

For different speakers, synthesize one voice's selected slides per invocation using repeated --slide <number> arguments. Only those canonical slide-NNN folders are read and their WAVs replaced; other speakers' outputs are untouched. Omit --slide to synthesize the whole deck.

generate_voiceover.py

ParameterTypeDefaultDescription
--dry-runflagfalsePrint SSML without generating audio
--voicestringen-US-Andrew:DragonHDLatestNeuralAzure AI Speech voice name
--ratestring+10%Speech prosody rate
--content-dirpathcontentPath to slide content directory
--output-dirpathvoice-overPath to WAV output directory
--slideintegerall slidesRepeat to synthesize only the selected canonical slide numbers
--lexiconpath(auto-detect)Custom acronyms.yaml path
--collapse-newlinesflagfalseCollapse newlines and whitespace runs in speaker notes into single spaces before synthesis
--verbose / -vflagfalseEnable verbose (DEBUG) logging output

Script Reference

Generate with custom voice and rate:

uv run scripts/generate_voiceover.py \
  --content-dir content \
  --output-dir voice-over \
  --voice "en-US-Jenny:DragonHDLatestNeural" \
  --rate "+5%"

Use a custom lexicon:

uv run scripts/generate_voiceover.py \
  --content-dir content \
  --lexicon custom-acronyms.yaml

Collapse newlines in speaker notes (recommended for block-scalar | notes, whose line breaks are otherwise spoken as pauses):

uv run scripts/generate_voiceover.py \
  --content-dir content \
  --collapse-newlines

Acronym Lexicon

The lexicon controls SSML <sub alias> replacements for acronyms and technical terms. Create an acronyms.yaml file:

acronyms:
  HVE-Core: "H V E Core"
  OWASP: "Oh wasp"
  SBOM: "S Bomb"
  SLSA: "Salsa"
  CI/CD: "C I C D"

Lexicon resolution order:

  1. Path specified via --lexicon argument.
  2. acronyms.yaml in the content directory.
  3. Built-in defaults covering common technical acronyms.

SSML Template

Each slide produces an SSML document:

<speak version="1.0" xmlns="http://www.w3.org/2001/10/synthesis"
 xmlns:mstts="http://www.w3.org/2001/mstts" xml:lang="en-US">
  <voice name="en-US-Andrew:DragonHDLatestNeural">
    <prosody rate="+10%">
      Text with <sub alias="Oh wasp">OWASP</sub> aliases applied.
    </prosody>
  </voice>
</speak>

Content Directory Contract

This skill reads a slide content directory with this structure:

content/
├── slide-001/
│   └── content.yaml    # Must include speaker_notes: field
├── slide-002/
│   └── content.yaml
└── ...

Each content.yaml should contain a speaker_notes: field with the narration text. The generated WAV files are named slide-NNN.wav matching the directory names.

Troubleshooting

IssueSolution
Set SPEECH_KEY ... or SPEECH_RESOURCE_IDExport SPEECH_KEY (key auth) or SPEECH_RESOURCE_ID (Entra ID) with SPEECH_REGION.
SPEECH_REGION must be setExport SPEECH_REGION with an approved Azure region. Synthesis has no default region.
401 with Entra ID authVerify custom domain on the Speech resource and Cognitive Services Speech User role. RBAC propagation takes up to 5 minutes.
Empty WAV files or skipped slidesVerify speaker_notes: is present and non-empty in content.yaml.
Mispronounced acronymsAdd entries to acronyms.yaml with phonetic aliases.
azure-cognitiveservices-speech package is requiredRun uv sync in the skill directory.

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