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Azure Cognitive Services Speech provides cloud-based automatic speech recognition (ASR) built on Microsoft’s neural network models. It supports real-time streaming transcription, diarization, and custom models — making it a strong choice for enterprise voice applications.

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Getting Started

Follow these steps to configure Azure Cognitive Services as your STT provider:
1

Add Azure credentials to your vault

Navigate to Integration → Vault in the Rapida dashboard. Add your Azure Subscription Key and the endpoint URL for your Speech resource. The IAM role must have the Cognitive Services User permission.
2

Select Azure as your STT provider

When configuring your assistant, open Audio Settings and choose Azure Cognitive Services as your Speech-to-Text provider.
3

Choose a language

Select the BCP-47 language code for your primary language (e.g. en-US, es-ES, fr-FR). Azure supports 100+ languages and locales.

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Supported Models

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Key Features

  • Real-time streaming: Low-latency partial and final transcripts for live voice applications
  • Speaker diarization: Identify and label individual speakers in a conversation
  • Custom Speech models: Train on your own audio data to improve accuracy for domain-specific terms
  • Profanity filtering: Mask or remove profane words from transcripts
  • Phrase lists: Boost recognition accuracy for specific words or phrases
  • Content redaction: Automatically redact PII from transcripts

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Supported Languages

Azure supports 100+ languages and locales including English (US, UK, AU, IN), Spanish, French, German, Italian, Portuguese, Japanese, Chinese (Simplified, Traditional), Korean, Hindi, and Arabic. See the Azure documentation for the full list.

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Configuration Options

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Notes

  • For telephony use cases, set sample rate to 8000 Hz to match PSTN audio.
  • Custom Speech models require training data upload via the Azure portal.
  • Pricing is per audio hour. See Azure Speech pricing.