Building Transcription: Why Whisper Is Still the Best
I needed transcription for my app. I tried Google Speech-to-Text, AWS Transcribe, and Whisper. Whisper won. Here's why it's still the best choice.
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Building Voice Control That Actually Works (Without Cloud APIs)
I wanted voice control for my home automation, but I didn't want to send my voice data to Google or Amazon. So I built a local solution using Whisper. Here's why I chose local, the challenges I faced, and what actually works.
Read MoreReal-Time Speech-to-Text with Whisper and WebRTC: Building Voice Interfaces
Building real-time voice interfaces requires low-latency speech recognition and seamless audio streaming. I've integrated OpenAI Whisper with WebRTC to create production-ready voice transcription systems that work in browsers without plugins.
Read MoreBuilding a Smart IVR with Whisper Speech-to-Text and GPT Response
Step-by-step tutorial for building an intelligent IVR system with natural language understanding. Replace frustrating phone menus with Whisper speech recognition and GPT-powered intent classification—achieving 92% routing accuracy.
Read MoreAI Voice Agents for Customer Support Using Asterisk + LLMs
Build production-grade AI voice agents that understand natural language, access knowledge bases, and handle real customer calls. Complete guide with Asterisk, Whisper, LLMs, and RAG—achieving 73% automation with 2.7s response time.
Read MoreMy Home AI Lab Setup — GPU Computing for Local LLMs
A complete breakdown of my personal AI lab—running local LLMs, real-time voice agents, and GPU-accelerated workflows without cloud costs. Hardware specs, software stack, real-world use cases, and why local AI is the future.
Read MoreDive Deeper into Whisper
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