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Speech-To-Text

Mastering multilingual speech-to-text: handle code-switching with AI

The article explains why code-switching makes multilingual speech-to-text harder, especially when speakers switch languages mid-sentence or use accents in noisy environments.

Speech-To-Text

Best Whisper alternatives for 2026: Comparison of top speech-to-text APIs

The article compares the top Whisper alternatives for 2026 across accuracy, latency, pricing, features, and production readiness.

Speech-To-Text

Mastering CRM data enrichment: AI & speech-to-text for smarter leads

The article explains how AI and speech-to-text can enrich CRM records by turning sales calls into structured lead data like names, budgets, timelines, sentiment, and intent signals. It covers pipeline architecture, accuracy testing, compliance, cost planning, CRM integration, and production monitoring.

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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