Deepgram
Automate speech recognition and text-to-speech with Deepgram and emma
With emma's Deepgram integration, you can automate real-time speech recognition, batch transcription, and high-quality text-to-speech (TTS) through automated workflows. Supports 30+ languages with fast and accurate processing.
Key Features
Speech-to-Text (STT)
Convert speech to text in real-time or batch mode. Supports advanced features like speaker diarization, timestamps, and sentiment analysis.
Text-to-Speech (TTS)
Generate natural-sounding speech from text. Choose from multiple languages and voice models.
Real-time Processing
Transcribe streaming audio in real-time with low latency. Perfect for live captions and voice assistants.
Multilingual Support
Supports 30+ languages including Japanese, English, Chinese, Spanish, and more with high accuracy.
Available Tools
Authentication
Authenticate using your Deepgram API key. Obtain your key from the Deepgram console.
3 tools are available:
| Category | Tool Count | |||||||
|---|---|---|---|---|---|---|---|---|
| Transcription | 1 | |||||||
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| Text-to-Speech | 1 | |||||||
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| Model Management | 1 | |||||||
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Use Cases
- • Call Centers: Automatically transcribe customer calls for analysis and summarization
- • Podcasts: Auto-transcribe episodes to generate searchable transcripts
- • Meeting Notes: Real-time captioning of online meetings with automatic minutes generation
- • Voice Assistants: Generate natural voice responses with TTS to enhance user experience
Setup
1. Create Deepgram Account
Create an account at Deepgram (deepgram.com) and obtain your API key from the console.
2. Configure API Key
Set your Deepgram API key in emma's integration settings page.
3. Use Tools
Use tools like deepgram_transcribe and deepgram_text_to_speech to build your speech processing workflows.
