Humyn Labs, a Physical AI research lab, launched the second edition of BRIDGE, a benchmark report revealing the gap between human speech and AI voice models, in Bengaluru on 18 September 2026. The report evaluated 23 voice AI models across 23 languages in real-world noisy conversations, mapping models including Sarvam v3, Gemini 3 Pro and ElevenLabs using seven core metrics such as overlapping speech, conversational density and code-switching. It covers Indic languages alongside Latin American Spanish, Brazilian Portuguese and Vietnamese, built on more than 200 hours of human-verified real world audio collected across two to three districts per language. Findings show overlapping speech pushed the average error rate up from 41.2% to 45.2%. Bengali scored 42.4% in its standard form but 51.0% in a regional dialect outside Kolkata. Argentinian Spanish recorded a 7.85% word error rate against 16.04% for Venezuelan Spanish. ElevenLabs averaged 5.8% error across five non-Indic languages compared to 24.6% for GPT-4o-mini-transcribe. Brazilian Portuguese calls showed an 18.8% error rate for gaps exceeding 150 seconds versus 12.4% for shorter gaps of around 35 seconds. Co-Founder Manish Agarwal said voice accuracy is a business imperative for Physical AI.