tts-voiceover

Generación de voz en off de texto a voz a partir de notas de orador en YAML usando Azure Speech SDK con control de pronunciación SSML

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 Speech SDK with SSML pronunciation control.

Overview

This skill reads content.yaml files from a PowerPoint skill content directory, extracts speaker_notes fields, applies SSML 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.

Prerequisites

  • Azure Speech resource — Free tier provides 500K characters per month.
  • Authentication — Key-based (SPEECH_KEY) or Microsoft Entra ID (SPEECH_RESOURCE_ID).
  • Python 3.11+ with uv for virtual environment management.
  • Data handling note — Speaker-notes content is transmitted to the configured SPEECH_REGION for synthesis. Operators must pin an approved region and avoid sending regulated or confidential narration.

Key-Based Auth

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

Microsoft Entra ID Auth

Requires a custom domain on the Speech resource and Cognitive Services Speech User role.

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

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

Embed audio into a PPTX deck:

uv run scripts/embed_audio.py --input deck.pptx --audio-dir voice-over --output deck-narrated.pptx

Parameters Reference

generate_voiceover.py

ParameterTypeDefaultDescription
--dry-runflagfalsePrint SSML templates without generating audio
--voicestringen-US-Andrew:DragonHDLatestNeuralAzure TTS voice name
--ratestring+10%Speech prosody rate
--content-dirpathcontentPath to slide content directory
--output-dirpathvoice-overPath to WAV output directory
--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

embed_audio.py

Embeds WAV files into corresponding PPTX slides and adds narration timing XML so PowerPoint recognizes the audio for video export via File > Export > Create a Video > Use Recorded Timings and Narrations.

ParameterTypeDefaultDescription
--inputpath(required)Source PPTX file path
--audio-dirpathvoice-overDirectory with slide-NNN.wav
--outputpath*-narrated.pptxOutput PPTX file path
--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

Embed generated audio:

uv run scripts/embed_audio.py \
  --input slide-deck/presentation.pptx \
  --audio-dir voice-over \
  --output slide-deck/presentation-narrated.pptx

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>

Integration with PowerPoint Skill

This skill reads from the PowerPoint skill's content directory 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.
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.
Audio icon visible in PPTXReposition or resize the audio object in PowerPoint after embedding.
Authored slide animations missing after embeddingembed_audio.py replaces existing p:timing with narration timing; re-apply animations in PowerPoint after embedding audio.
Slides no longer advance on click after embeddingembed_audio.py sets advClick="0" for auto-advance. To re-enable, select all slides in PowerPoint and check Advance Slide > On Mouse Click in the Transitions tab.
Video export shows "No timings recorded"Re-embed audio with the updated embed_audio.py which adds narration timing XML automatically.

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