Model Releases
I'm excited about voice as a UI layer for existing visual applications — where speech and screen update together. This goes well beyond voic…
I'm excited about voice as a UI layer for existing visual applications — where speech and screen update together. This goes well beyond voice-only use cases like call center automation. The barrier ha
I'm excited about voice as a UI layer for existing visual applications — where speech and screen update together. This goes well beyond voice-only use cases like call center automation. The barrier has been a hard technical tradeoff: low-latency voice models lack reliability, while agentic pipelines (speech-to-text → LLM → text-to-speech) are intelligent but too slow for conversation. Ashwyn Sharma and team at Vocal Bridge (an AI Fund portfolio company) address this with a dual-agent architecture: a foreground agent for real-time conversation, a background agent for reasoning, guardrails, and tool calls. I used Vocal Bridge to add voice to a math-quiz app I'd built for my daughter; this took less than an hour with Claude Code. She speaks her answers, the app responds verbally and updates the questions and animations on screen. Only a tiny fraction of developers have ever built a voice app. If you'd like to try building one, check out Vocal Bridge for free: https://vocalbridgeai.com
Related
- EchoChain: A Full-Duplex Benchmark for State-Update Reasoning Under Interruptions
- 🇺🇸 xAI just dropped a real-time speech-to-text model built for voice apps: high limits, multi-language support, the works. Priced at just …
- Unifying Speech Editing Detection and Content Localization via Prior-Enhanced Audio LLMs
- Voice of India: A Large-Scale Benchmark for Real-World Speech Recognition in India
Source: Andrew Ng (X) | 2026-04-14