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Speech-To-Text

Building note-taker pipelines in Python: async transcription, LLM integration, and production deployment

Building note-taker pipelines in Python requires async transcription, LLM integration, and production-ready architecture patterns.

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Speech-To-Text

Best Google Meet transcription tools and APIs: comparison and selection criteria

Compare Google Meet transcription tools and APIs for product teams. Evaluate WER, latency, pricing at scale, and bot-free capture.

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Code-switching detection: how to identify mixed-language speech automatically

Code-switching detection identifies language changes in speech automatically, enabling ASR systems to handle mixed-language audio accurately.

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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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Speech-To-Text
Building note-taker pipelines in Python: async transcription, LLM integration, and production deployment
Speech-To-Text
Best Google Meet transcription tools and APIs: comparison and selection criteria
Speech-To-Text
Code-switching detection: how to identify mixed-language speech automatically
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