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Description
Summary
Can we improve how the agent hears us or how the transcriber receives audio, so the transcription is more accurate?
Context
Right now, Twilio streams raw voice data, which is then passed through middleware before reaching the transcriber. The issue is that background noise or low-quality mic input sometimes causes the transcriber to misinterpret or drop words.
Proposed Solution
Before the audio reaches the transcriber, we could process it through a small audio enhancement layer that:
Amplifies low-volume voices
Cleans and denoises incoming audio
Applies noise cancellation to reduce background interference
Normalizes gain levels to maintain consistent clarity
Essentially, the idea is to create a preprocessing step between Twilio’s raw audio stream and the transcription stage, something like a lightweight middleware filter that enhances clarity before the model hears it.
Expected Result
Cleaner, clearer input for the transcription model, higher accuracy, faster recognition, and better responses from the AI agent.