AGENTIC_VI_G_SE) model is designed to improve Automatic Speech Recognition (ASR) accuracy in noisy environments. Unlike traditional speech enhancement optimized for human perception, this model preserves the acoustic and phonetic information that ASR systems depend on while removing conversational disruptions.
Hear the Difference
Removes environmental background noise and distant human voices from the primary speaker’s audio stream for complete voice isolation, ensuring ASR processes only the primary speaker’s input.Before · Primary speaker + background noise
After · Primary speaker only
Performance Benchmarks
The following transcripts are generated from the audio samples above. The Oracle Transcript is the ground truth — the actual words spoken. The Source Transcript is the raw audio passed directly through the ASR system. The Sanas Transcript is the audio processed through the Sanas model first, then passed through the same ASR system. The Word Error Rate (WER) is calculated relative to the Oracle Transcript (0% WER), based on insertion, deletion, and substitution errors — bolded words below indicate these errors. WER percentage for each is shown at the bottom of the table.Test Environment
- Background: Contact center with background office chatter and ambient noise
- ASR System: Deepgram Nova3 Streaming