What do upstream and downstream mean in voice AI?
In a voice pipeline, upstream refers to components that process audio earlier in the chain, closer to the microphone or network input, and downstream refers to components that process it later, closer to the output. The terms describe the direction of data flow through the stack.
What is an example of upstream and downstream?
A typical voice agent pipeline flows: microphone → audio enhancement → VAD → ASR → LLM → TTS → speaker. Enhancement and VAD sit upstream of ASR; ASR sits upstream of the LLM; TTS sits downstream of the LLM. What happens upstream directly affects every component downstream.
How does ai-coustics help under-transcription?
Quail is designed to sit upstream of ASR, as close to the audio source as practical. By conditioning the signal at the very front of the pipeline, Quail improves the input every downstream component (ASR, LLM, tool calls, TTS) depends on, which is why ai-coustics is the audio reliability layer at the front of the voice stack.
