Building voice AI for India: transcription, transliteration and code-mixing are one problem
fooobar · x · 2026-10-19
India doesn't speak in one language — and often speakers mix multiple languages in a single utterance. The author argues that building voice AI for India requires a fundamentally different approach to speech.
The key point: transcription, transliteration, and code-mixing are deeply interconnected problems that can't be solved separately; they need to be tackled as one.
More from Research
- Amateurs Are Using GPT-6 to Crack Decades-Old Ciphers, Overwhelming Cryptographers — ChuckDBrooks · 2026-10-19
- 27B anti-slop model trained via RLAIF hits #4 on EQ-Bench 4, beats several flagships — l4rz · 2026-10-19
- A literature-review workflow with Claude, Althea MCP, Lacuna and Overleaf — hugo_larochelle · 2026-10-19
- Study finds speech domain explains 4x more variance than model choice in TTS cloning — kastnerkyle · 2026-10-19
- Six ELLIS members win 2026 AI2050 Fellowships from Schmidt Sciences — maksym_andr · 2026-10-19
- Study of 102 students finds AI use reinforces the illusion of understanding — robertonappe · 2026-10-19