Voice AI’s “ChatGPT moment” hasn’t arrived yet. The bottleneck may not be how human the voice sounds, but the context layer. PolyAI’s CTO says ASR often misses important keywords; when a keyword is missed, the full context needed downstream is lost, throwing the entire pipeline off.
Otter’s CMO puts the consequences more bluntly: transcription is never the end goal, but if the raw transcript isn’t accurate enough, everything that follows—from summaries to action items—is built on faulty foundations, and users lose trust in the platform. Full-duplex models can already listen and speak at the same time, but the context layer remains unsolved.
Otter’s CMO puts the consequences more bluntly: transcription is never the end goal, but if the raw transcript isn’t accurate enough, everything that follows—from summaries to action items—is built on faulty foundations, and users lose trust in the platform. Full-duplex models can already listen and speak at the same time, but the context layer remains unsolved.