[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M69APPVB7QE5QYQ8XMWERY6W":3,"skill-same:01M69APPVB7QE5QYQ8XMWERY6W":145},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":50,"ownerDescription":51,"updatedAt":52,"install":53,"resources":66},"01M69APPVB7QE5QYQ8XMWERY6W","tts-voiceover",null,"Text-to-speech voice-over generation from YAML speaker notes using Azure AI Speech neural voices with SSML pronunciation control","microsoft\u002Fhve-core","microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","01M698VYDXZ6JW5WH3CRV650R8","Microsoft","01M69AK4J04JBRYTAKCMZ8G14R",1613,"MIT","https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fhve-core\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fexperimental\u002Ftts-voiceover\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,9,31,32,33,34,35,36],"tts voiceover","tts","voiceover","voice","Speaker Notes","text-to-speech","with","control","generation","pronunciation","Neural","text","yaml","speech","core","azure","notes","azure ai","2026-11-10 10:12:30",false,"---\nname: tts-voiceover\ndescription: 'Text-to-speech voice-over generation from YAML speaker notes using Azure AI Speech neural voices with SSML pronunciation control'\nmetadata:\n  authors: \"microsoft\u002Fhve-core\"\n  spec_version: \"1.0\"\n---\n\n# TTS Voice Over Skill\n\nGenerates per-slide WAV voice-over files from YAML `speaker_notes` using Azure AI Speech neural voices with SSML pronunciation control.\n\n## Overview\n\nThis skill reads `content.yaml` files from a slide content directory (`slide-NNN\u002Fcontent.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.\n\nSynthesis 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](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fai-services\u002Fspeech-service\u002Fregions) before choosing `SPEECH_REGION`.\n\nNarration produced by this skill is synthetic. Tell listeners that the voice is AI-generated, following Microsoft's [disclosure design guidelines for synthetic voices](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Ffoundry\u002Fresponsible-ai\u002Fspeech-service\u002Ftext-to-speech\u002Fconcepts-disclosure-guidelines). HVE demo-material CI does not synthesize speech; it generates silent videos.\n\n## Prerequisites\n\n* **Azure Speech resource**: see [Azure AI Speech pricing](https:\u002F\u002Fazure.microsoft.com\u002Fpricing\u002Fdetails\u002Fspeech\u002F) for the free-tier allowance and HD voice rates.\n* **Authentication**: Microsoft Entra ID (`SPEECH_RESOURCE_ID`, recommended) or a resource key (`SPEECH_KEY`).\n* **Region**: `SPEECH_REGION` is required for synthesis and has no default. Dry-run mode does not need it.\n* **Python 3.11+** with `uv` for virtual environment management.\n* **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](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Ffoundry\u002Fresponsible-ai\u002Fspeech-service\u002Ftext-to-speech\u002Fdata-privacy-security). Operators must still set an approved region and avoid sending regulated or confidential narration.\n\n### Microsoft Entra ID Auth (Recommended)\n\nEntra 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\u002Flogin` all work.\n\n```bash\nexport SPEECH_RESOURCE_ID=\"\u002Fsubscriptions\u002F...\u002FMicrosoft.CognitiveServices\u002Faccounts\u002Fyour-resource\"\nexport SPEECH_REGION=\"eastus\"\n```\n\n### Key-Based Auth\n\n```bash\nexport SPEECH_KEY=\"your-speech-key\"\nexport SPEECH_REGION=\"eastus\"\n```\n\nWhen both `SPEECH_KEY` and `SPEECH_RESOURCE_ID` are set, the script warns and uses the key. Unset `SPEECH_KEY` to use Entra ID.\n\nInstall dependencies:\n\n```bash\n# run from this skill folder\nuv sync\n```\n\n## Quick Start\n\nVerify SSML templates without generating audio:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py --dry-run --content-dir path\u002Fto\u002Fcontent\n```\n\nGenerate voice-over WAV files:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py --content-dir path\u002Fto\u002Fcontent --output-dir voice-over\n```\n\nUse `demo-video` to combine the WAV files with approved frames or clips.\nUse `hve-slides` for HTML presentations and `hve-demo-material` for the\nHTML\u002Fframe\u002FMP4\u002Fcaption workflow. Audio embedding into presentation files is retired.\n\n## Parameters Reference\n\nFor different speakers, synthesize one voice's selected slides per invocation\nusing repeated `--slide \u003Cnumber>` arguments. Only those canonical `slide-NNN`\nfolders are read and their WAVs replaced; other speakers' outputs are untouched.\nOmit `--slide` to synthesize the whole deck.\n\n### generate_voiceover.py\n\n| Parameter             | Type    | Default                             | Description                                                                                |\n|:----------------------|:--------|:------------------------------------|:-------------------------------------------------------------------------------------------|\n| `--dry-run`           | flag    | `false`                             | Print SSML without generating audio                                                        |\n| `--voice`             | string  | `en-US-Andrew:DragonHDLatestNeural` | Azure AI Speech voice name                                                                 |\n| `--rate`              | string  | `+10%`                              | Speech prosody rate                                                                        |\n| `--content-dir`       | path    | `content`                           | Path to slide content directory                                                            |\n| `--output-dir`        | path    | `voice-over`                        | Path to WAV output directory                                                               |\n| `--slide`             | integer | all slides                          | Repeat to synthesize only the selected canonical slide numbers                             |\n| `--lexicon`           | path    | *(auto-detect)*                     | Custom acronyms.yaml path                                                                  |\n| `--collapse-newlines` | flag    | `false`                             | Collapse newlines and whitespace runs in speaker notes into single spaces before synthesis |\n| `--verbose` \u002F `-v`    | flag    | `false`                             | Enable verbose (DEBUG) logging output                                                      |\n\n## Script Reference\n\nGenerate with custom voice and rate:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py \\\n  --content-dir content \\\n  --output-dir voice-over \\\n  --voice \"en-US-Jenny:DragonHDLatestNeural\" \\\n  --rate \"+5%\"\n```\n\nUse a custom lexicon:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py \\\n  --content-dir content \\\n  --lexicon custom-acronyms.yaml\n```\n\nCollapse newlines in speaker notes (recommended for block-scalar `|` notes,\nwhose line breaks are otherwise spoken as pauses):\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py \\\n  --content-dir content \\\n  --collapse-newlines\n```\n\n## Acronym Lexicon\n\nThe lexicon controls SSML `\u003Csub alias>` replacements for acronyms and technical terms. Create an `acronyms.yaml` file:\n\n```yaml\nacronyms:\n  HVE-Core: \"H V E Core\"\n  OWASP: \"Oh wasp\"\n  SBOM: \"S Bomb\"\n  SLSA: \"Salsa\"\n  CI\u002FCD: \"C I C D\"\n```\n\nLexicon resolution order:\n\n1. Path specified via `--lexicon` argument.\n2. `acronyms.yaml` in the content directory.\n3. Built-in defaults covering common technical acronyms.\n\n## SSML Template\n\nEach slide produces an SSML document:\n\n```xml\n\u003Cspeak version=\"1.0\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2001\u002F10\u002Fsynthesis\"\n xmlns:mstts=\"http:\u002F\u002Fwww.w3.org\u002F2001\u002Fmstts\" xml:lang=\"en-US\">\n  \u003Cvoice name=\"en-US-Andrew:DragonHDLatestNeural\">\n    \u003Cprosody rate=\"+10%\">\n      Text with \u003Csub alias=\"Oh wasp\">OWASP\u003C\u002Fsub> aliases applied.\n    \u003C\u002Fprosody>\n  \u003C\u002Fvoice>\n\u003C\u002Fspeak>\n```\n\n## Content Directory Contract\n\nThis skill reads a slide content directory with this structure:\n\n```text\ncontent\u002F\n├── slide-001\u002F\n│   └── content.yaml    # Must include speaker_notes: field\n├── slide-002\u002F\n│   └── content.yaml\n└── ...\n```\n\nEach `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.\n\n## Troubleshooting\n\n| Issue                                                | Solution                                                                                                                       |\n|:-----------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------|\n| `Set SPEECH_KEY ... or SPEECH_RESOURCE_ID`           | Export `SPEECH_KEY` (key auth) or `SPEECH_RESOURCE_ID` (Entra ID) with `SPEECH_REGION`.                                        |\n| `SPEECH_REGION must be set`                          | Export `SPEECH_REGION` with an approved Azure region. Synthesis has no default region.                                         |\n| 401 with Entra ID auth                               | Verify custom domain on the Speech resource and `Cognitive Services Speech User` role. RBAC propagation takes up to 5 minutes. |\n| Empty WAV files or skipped slides                    | Verify `speaker_notes:` is present and non-empty in `content.yaml`.                                                            |\n| Mispronounced acronyms                               | Add entries to `acronyms.yaml` with phonetic aliases.                                                                          |\n| `azure-cognitiveservices-speech package is required` | Run `uv sync` in the skill directory.                                                                                          |\n\n","# TTS Voice Over Skill\n\nGenerates per-slide WAV voice-over files from YAML `speaker_notes` using Azure AI Speech neural voices with SSML pronunciation control.\n\n## Overview\n\nThis skill reads `content.yaml` files from a slide content directory (`slide-NNN\u002Fcontent.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.\n\nSynthesis 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](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Fai-services\u002Fspeech-service\u002Fregions) before choosing `SPEECH_REGION`.\n\nNarration produced by this skill is synthetic. Tell listeners that the voice is AI-generated, following Microsoft's [disclosure design guidelines for synthetic voices](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Ffoundry\u002Fresponsible-ai\u002Fspeech-service\u002Ftext-to-speech\u002Fconcepts-disclosure-guidelines). HVE demo-material CI does not synthesize speech; it generates silent videos.\n\n## Prerequisites\n\n* **Azure Speech resource**: see [Azure AI Speech pricing](https:\u002F\u002Fazure.microsoft.com\u002Fpricing\u002Fdetails\u002Fspeech\u002F) for the free-tier allowance and HD voice rates.\n* **Authentication**: Microsoft Entra ID (`SPEECH_RESOURCE_ID`, recommended) or a resource key (`SPEECH_KEY`).\n* **Region**: `SPEECH_REGION` is required for synthesis and has no default. Dry-run mode does not need it.\n* **Python 3.11+** with `uv` for virtual environment management.\n* **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](https:\u002F\u002Flearn.microsoft.com\u002Fazure\u002Ffoundry\u002Fresponsible-ai\u002Fspeech-service\u002Ftext-to-speech\u002Fdata-privacy-security). Operators must still set an approved region and avoid sending regulated or confidential narration.\n\n### Microsoft Entra ID Auth (Recommended)\n\nEntra 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\u002Flogin` all work.\n\n```bash\nexport SPEECH_RESOURCE_ID=\"\u002Fsubscriptions\u002F...\u002FMicrosoft.CognitiveServices\u002Faccounts\u002Fyour-resource\"\nexport SPEECH_REGION=\"eastus\"\n```\n\n### Key-Based Auth\n\n```bash\nexport SPEECH_KEY=\"your-speech-key\"\nexport SPEECH_REGION=\"eastus\"\n```\n\nWhen both `SPEECH_KEY` and `SPEECH_RESOURCE_ID` are set, the script warns and uses the key. Unset `SPEECH_KEY` to use Entra ID.\n\nInstall dependencies:\n\n```bash\n# run from this skill folder\nuv sync\n```\n\n## Quick Start\n\nVerify SSML templates without generating audio:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py --dry-run --content-dir path\u002Fto\u002Fcontent\n```\n\nGenerate voice-over WAV files:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py --content-dir path\u002Fto\u002Fcontent --output-dir voice-over\n```\n\nUse `demo-video` to combine the WAV files with approved frames or clips.\nUse `hve-slides` for HTML presentations and `hve-demo-material` for the\nHTML\u002Fframe\u002FMP4\u002Fcaption workflow. Audio embedding into presentation files is retired.\n\n## Parameters Reference\n\nFor different speakers, synthesize one voice's selected slides per invocation\nusing repeated `--slide \u003Cnumber>` arguments. Only those canonical `slide-NNN`\nfolders are read and their WAVs replaced; other speakers' outputs are untouched.\nOmit `--slide` to synthesize the whole deck.\n\n### generate_voiceover.py\n\n| Parameter             | Type    | Default                             | Description                                                                                |\n|:----------------------|:--------|:------------------------------------|:-------------------------------------------------------------------------------------------|\n| `--dry-run`           | flag    | `false`                             | Print SSML without generating audio                                                        |\n| `--voice`             | string  | `en-US-Andrew:DragonHDLatestNeural` | Azure AI Speech voice name                                                                 |\n| `--rate`              | string  | `+10%`                              | Speech prosody rate                                                                        |\n| `--content-dir`       | path    | `content`                           | Path to slide content directory                                                            |\n| `--output-dir`        | path    | `voice-over`                        | Path to WAV output directory                                                               |\n| `--slide`             | integer | all slides                          | Repeat to synthesize only the selected canonical slide numbers                             |\n| `--lexicon`           | path    | *(auto-detect)*                     | Custom acronyms.yaml path                                                                  |\n| `--collapse-newlines` | flag    | `false`                             | Collapse newlines and whitespace runs in speaker notes into single spaces before synthesis |\n| `--verbose` \u002F `-v`    | flag    | `false`                             | Enable verbose (DEBUG) logging output                                                      |\n\n## Script Reference\n\nGenerate with custom voice and rate:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py \\\n  --content-dir content \\\n  --output-dir voice-over \\\n  --voice \"en-US-Jenny:DragonHDLatestNeural\" \\\n  --rate \"+5%\"\n```\n\nUse a custom lexicon:\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py \\\n  --content-dir content \\\n  --lexicon custom-acronyms.yaml\n```\n\nCollapse newlines in speaker notes (recommended for block-scalar `|` notes,\nwhose line breaks are otherwise spoken as pauses):\n\n```bash\nuv run scripts\u002Fgenerate_voiceover.py \\\n  --content-dir content \\\n  --collapse-newlines\n```\n\n## Acronym Lexicon\n\nThe lexicon controls SSML `\u003Csub alias>` replacements for acronyms and technical terms. Create an `acronyms.yaml` file:\n\n```yaml\nacronyms:\n  HVE-Core: \"H V E Core\"\n  OWASP: \"Oh wasp\"\n  SBOM: \"S Bomb\"\n  SLSA: \"Salsa\"\n  CI\u002FCD: \"C I C D\"\n```\n\nLexicon resolution order:\n\n1. Path specified via `--lexicon` argument.\n2. `acronyms.yaml` in the content directory.\n3. Built-in defaults covering common technical acronyms.\n\n## SSML Template\n\nEach slide produces an SSML document:\n\n```xml\n\u003Cspeak version=\"1.0\" xmlns=\"http:\u002F\u002Fwww.w3.org\u002F2001\u002F10\u002Fsynthesis\"\n xmlns:mstts=\"http:\u002F\u002Fwww.w3.org\u002F2001\u002Fmstts\" xml:lang=\"en-US\">\n  \u003Cvoice name=\"en-US-Andrew:DragonHDLatestNeural\">\n    \u003Cprosody rate=\"+10%\">\n      Text with \u003Csub alias=\"Oh wasp\">OWASP\u003C\u002Fsub> aliases applied.\n    \u003C\u002Fprosody>\n  \u003C\u002Fvoice>\n\u003C\u002Fspeak>\n```\n\n## Content Directory Contract\n\nThis skill reads a slide content directory with this structure:\n\n```text\ncontent\u002F\n├── slide-001\u002F\n│   └── content.yaml    # Must include speaker_notes: field\n├── slide-002\u002F\n│   └── content.yaml\n└── ...\n```\n\nEach `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.\n\n## Troubleshooting\n\n| Issue                                                | Solution                                                                                                                       |\n|:-----------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------|\n| `Set SPEECH_KEY ... or SPEECH_RESOURCE_ID`           | Export `SPEECH_KEY` (key auth) or `SPEECH_RESOURCE_ID` (Entra ID) with `SPEECH_REGION`.                                        |\n| `SPEECH_REGION must be set`                          | Export `SPEECH_REGION` with an approved Azure region. Synthesis has no default region.                                         |\n| 401 with Entra ID auth                               | Verify custom domain on the Speech resource and `Cognitive Services Speech User` role. RBAC propagation takes up to 5 minutes. |\n| Empty WAV files or skipped slides                    | Verify `speaker_notes:` is present and non-empty in `content.yaml`.                                                            |\n| Mispronounced acronyms                               | Add entries to `acronyms.yaml` with phonetic aliases.                                                                          |\n| `azure-cognitiveservices-speech package is required` | Run `uv sync` in the skill directory.                                                                                          |\n\n",{"name":5,"metadata":42,"description":7},{"authors":8,"spec_version":43},"1.0","main","f425e943bf228052a23e6bc4810b5faef030314f",".github\u002Fskills\u002Fexperimental\u002Ftts-voiceover",354,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fhve-core","https:\u002F\u002Fgithub.com\u002Fmicrosoft","https:\u002F\u002Fopensource.microsoft.com","Open source projects and samples from 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