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Transcribing audio with Gladia's async SDK

Transcribing an audio file should take one call. In practice, it usually takes five or six: upload the file, create a job, poll the endpoint until it's done, parse the response, and wrap the whole thing in retry logic for when something fails midway. It's not hard work, but it's the kind of repetitive plumbing that ends up in every project that touches speech-to-text.

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Speech-To-Text

Building a meeting summarization pipeline: async STT + LLM in 5 steps

Building a meeting summarization pipeline with async STT and LLM in 5 steps: audio ingestion, API integration, and prompt engineering.

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Speech-To-Text

Real-time latency for meeting transcription: latency budgets and live note-taking requirements

Real-time latency for meeting transcription requires measuring end-to-end delays across audio chunking, network routing, and rendering.

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Ebook: Ultimate guide to using LLMs with speech recognition

Published on Jan 7, 2025
Ebook: Ultimate guide to using LLMs with speech recognition

Large Language Models (LLMs) have enabled businesses to build advanced AI-driven features, but navigating the many available models and optimization techniques isn't always easy.

If you’re looking to combine speech recognition (STT) and LLMs for cutting-edge voice apps, look no further! Our ultimate guide is finally here, and it’s filled with valuable strategies and hands-on insights from our work with hundreds of audio-first companies and extensive interviews with experts in AI note-taking, sales enablement and customer support.

What you'll learn:

  • The pros and cons of open-source vs proprietary models;
  • Best practices for optimizing LLM performance;
  • Key metrics and indicators to measure the success of STT systems;
  • A checklist for evaluating LLM and STT vendors for voice apps
  • ... and much more!
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Product News
Transcribing audio with Gladia's async SDK
Speech-To-Text
Building a meeting summarization pipeline: async STT + LLM in 5 steps
Speech-To-Text
Real-time latency for meeting transcription: latency budgets and live note-taking requirements
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