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azure-text-to-speech skill

by calesthio·calesthio/OpenMontage·78k stars·AGPL-3.0

Generate neural narration audio using Azure AI Speech (REST text-to-speech). Use when synthesizing voiceovers or narration in OpenMontage. Optional cloud TTS provider — preferred when AZURE_SPEECH_KEY is configured; the local piper_tts remains the default offline path. Shares one Speech resource with azure_stt.

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Install the azure-text-to-speech skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

git clone --depth 1 https://github.com/calesthio/OpenMontage.git /tmp/OpenMontage
mkdir -p ~/.claude/skills
cp -r /tmp/OpenMontage/.agents/skills/azure-text-to-speech ~/.claude/skills/azure-text-to-speech
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

Azure AI Speech — Text-to-Speech

Generate narration with Azure neural TTS — high-quality multilingual voices, SSML prosody control, and express-as styles, served synchronously by the REST /cognitiveservices/v1 endpoint (no token exchange, Blob storage, or job polling). In OpenMontage this is exposed through the azuretts tool (capability=tts, provider=azure). It is an optional cloud TTS provider — when AZURESPEECHKEY is configured, prefer it for high-quality cloud narration. The local pipertts remains the default offline path and the fallback when Azure is unavailable; elevenlabs_tts remains the choice for voice cloning.

Docs: REST text to speech · Voice gallery

Setup

Same Speech resource as azurestt — one key/region unlocks both directions (STT and TTS). Create a Speech resource in the Azure portal; copy the key and region from its Keys and Endpoint** page.

export AZURE_SPEECH_KEY=your_speech_resource_key
export AZURE_SPEECH_REGION=eastus        # your resource's region
# export AZURE_TTS_ENDPOINT=https://...  # optional: full custom TTS host
#   (the TTS host is https://<region>.tts.speech.microsoft.com — a different
#    subdomain than the STT endpoint, hence the separate override var)

azuretts reports AVAILABLE once AZURESPEECHKEY plus either AZURESPEECHREGION or AZURETTS_ENDPOINT are set.

Using it in a pipeline

Route through ttsselector as usual (it auto-discovers azuretts), or call the provider tool directly when the user has approved Azure:

from tools.tool_registry import registry
registry.discover()
tts = registry._tools["azure_tts"]

result = tts.execute({
    "text": "Every design decision in this dashboard has a reason.",
    "voice": "andrew",                 # alias or full Azure short name
    "rate": "-4%",                     # slightly slower for narration
    # "style": "narration-professional",  # for voices that support styles
    "output_path": "projects/my-video/assets/audio/seg_001.mp3",
    "output_format": "mp3",            # or "wav" (48kHz PCM) for mixing
})

If azuretts is unavailable (no key) or errors, fall back per its declared chain: elevenlabstts → openaitts → pipertts.

Voice selection

Curated shortlist (aliases accepted by the voice param):

Any valid Azure voice short name may be passed verbatim (e.g. de-DE-KatjaNeural); the Multilingual voices handle non-English text well — set locale to match the text's language for correct SSML.

Parameters that matter

slowed ("-4%" to "-8%"); leave pitch at "0%" unless correcting a voice.

  • rate / pitch — SSML prosody. Narration usually reads best slightly

(narration-professional, calm, newscast). Unsupported styles are silently ignored by Azure, so listen to a sample before batch runs.

  • style — express-as style for voices that support it

when the segment feeds audio_mixer for further processing.

  • outputformat** — mp3 (48kHz/192kbit) for delivery, wav (48kHz PCM)

safe to regenerate individual segments without re-recording the whole set.

  • Determinism: a fixed voice + SSML re-renders effectively identical audio —

Cost

Azure neural TTS Standard tier bills roughly $16 per 1M characters (~$0.016 per 1k chars; a 150-word narration segment ≈ $0.015). The tool reports per-call cost_usd for the cost tracker. See Azure AI Speech pricing for current rates.

Limits & tips

asset stage convention) rather than one giant paragraph — smaller segments align cleanly to scene timings and are cheap to regenerate.

  • One execute call = one narration segment. Generate per script section (the

any segment OpenMontage generates.

  • The synchronous endpoint caps a request at 10 minutes of audio — far above

plain text plus the rate/pitch/style params.

  • Text is XML-escaped automatically; do not pre-escape or wrap in SSML — pass

full script (voice/style fit is a creative decision — surface it at the proposal stage per the Decision Communication Contract).

  • Verify quality: listen to the first generated segment before batch-running a

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