Expertise Needed for Web Speech API Optimization

Замовник: AI | Опубліковано: 18.03.2026

JS Freelancer needed — Browser-based Voice Recognition (Web Speech API) Context: I'm developing a PWA web application (vanilla HTML/CSS/JS, Firebase). A "hands-free" mode allows users to validate items by voice, without touching the screen. The problem: Web Speech API on Android Chrome is unstable in noisy environments: - Sessions die silently after a period of silence - Short trigger words ("hop", "ok", "next") frequently missed or misrecognized - Erratic behavior across Android versions - Conflicts between speech synthesis (TTS) and recognition (STT) What I already have: - Working voice mode with short sessions + automatic restart - interimResults, maxAlternatives, expanded trigger word list - Accent stripping in transcript comparison What I'm looking for: Someone who has already solved these issues in production — not theory. Ideally with one of the following approaches: - Advanced Web Speech API optimization (VAD, fine-grained state management, heuristics) - Whisper integration via Transformers.js in a mobile context - Any other proven browser-side approach, no server required Stack: vanilla HTML/JS, Android Chrome, Firebase Realtime Database. No framework. Please apply with references from similar cases.