What is acoustic root-cause analysis?
Acoustic root-cause analysis is identifying which specific acoustic condition (noise, reverb, a second talker, network loss, codec artifacts) caused a voice AI failure, rather than just noting that a failure happened.
What is an example of acoustic root-cause analysis?
A team can tell whether a spike in escalations came from customers’ physical environments or from a bug in the agent’s logic, instead of guessing between the two.
How does acoustic root-cause analysis work?
It breaks a single failure signal down into named, individually measurable acoustic conditions instead of one opaque composite score, so each condition can be checked and ruled in or out on its own – whatever method or vendor is doing the measuring.
How does ai-coustics use acoustic root-cause analysis?
ai-coustics performs acoustic root-cause analysis through Tyto - the audio insight model. The Tyto Dimensions are a six-way breakdown of noise, reverb, loudness, interfering speech, packet loss and codec degradation, decoupled from any specific speech-to-text (STT), voice activity detection (VAD) or language-model vendor.
