Integrations

Supercharge Speechace with Relevance AI

Speechace is a powerful speech analysis platform that evaluates spoken English pronunciation and relevance through a REST API. By integrating with Relevance AI, you can leverage AI Agents to transform speech evaluations into actionable insights and automated workflows.

Give your AI Agents Speechace Superpowers

Speechace provides detailed speech scoring and pronunciation assessment, while Relevance AI empowers these insights with intelligent AI Agents that can automate responses and actions based on speech relevance.

Real-Time Pronunciation Mastery

Instant analysis and correction of speech patterns enables the agent to provide immediate, accurate pronunciation guidance.

Adaptive Learning Orchestration

Dynamic adjustment of instruction based on detailed scoring metrics creates personalized learning experiences for each user.

Interactive Speech Optimization

Real-time audio processing combined with detailed scoring enables dynamic conversation practice with immediate improvement suggestions.

Tools

Equip AI Agents with the Speechace Tools they need

Relevance AI seamlessly integrates with Speechace to enhance your workflows with advanced speech analysis capabilities.

Speechace - Transcribe and Score Recording
Analyzes audio recordings to transcribe speech and evaluate American English pronunciation, providing detailed scoring and accent assessment without requiring predefined text input.
Speechace - Score Scripted Recording
Evaluates audio recordings against specific text prompts to assess pronunciation accuracy and provide detailed scoring, specifically designed for structured speaking exercises.
Name
Speechace API Call
Description
Make an authorized request to a Speechace API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
An online language learning platform uses Speechace API calls to analyze student pronunciation recordings in real-time, providing immediate feedback on accent and articulation to help learners improve their speaking skills.

Security & Reliability

The Speechace integration utilizes a robust REST API to deliver advanced speech analysis and scoring capabilities, ensuring that developers can effectively assess spoken English pronunciation and evaluate speech relevance in various contexts. This integration is designed to streamline the process of analyzing audio inputs, providing detailed metrics and insights.

With automated pronunciation assessments and support for multiple English dialects, the Speechace platform allows for flexible audio format handling, making it easier to integrate into existing workflows. The integration also leverages secure OAuth authentication, ensuring that only authorized applications can access the Speechace API.

Relevance AI manages API operations seamlessly, allowing developers to focus on building applications without worrying about the intricacies of error handling or data formatting. Built-in validation and type conversion ensure that workflows run efficiently, even when dealing with diverse audio formats and contexts.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Speechace + Relevance AI integration without writing code:
  • Ensure high audio quality: Use recordings with a minimum bitrate of 128 kbps and keep them under 30 seconds to improve analysis accuracy.
  • Utilize clear relevance contexts: Provide well-defined relevance contexts that are under 500 characters to enhance scoring precision.
  • Manage audio files effectively: Clean up temporary audio files after processing to avoid storage issues and ensure smooth operation.
  • Test with sample data: Run initial tests with sample audio files to validate the integration before applying it to real user data.
  • Implement error handling: Gracefully handle errors and validate audio file formats and sizes before uploading to prevent common issues.