TRUSTERA: A Live Conversation Redaction System
Evandro Gouvêa, Ali Dadgar, Shahab Jalalvand, Rathi Chengalvarayan, Badrinath Jayakumar, Ryan Price, Nicholas Ruiz, Jennifer McGovern
Abstract
We introduce Trustera <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> , the first functional system that redacts personally identifiable information (PII) in real-time spoken conversations to remove agents’ need to hear sensitive information while preserving the naturalness of live customer-agent conversations. As opposed to post-call redaction, audio masking starts as soon as the customer begins speaking to a PII entity. This significantly reduces the risk of PII being intercepted or stored in insecure data storage. Trustera’s architecture consists of a pipeline of automatic speech recognition, natural language understanding, and a live audio redactor module. The system’s goal is three-fold: redact entities that are PII, mask the audio that goes to the agent, and at the same time capture the entity, so that the captured PII can be used for a payment transaction or caller identification. Trustera is currently being used by thousands of agents to secure customers’ sensitive information.
BibTeX
@inproceedings{icassp2023_trusteraalivecon,
title = {TRUSTERA: A Live Conversation Redaction System},
author = {Evandro Gouvêa and Ali Dadgar and Shahab Jalalvand and Rathi Chengalvarayan and Badrinath Jayakumar and Ryan Price and Nicholas Ruiz and Jennifer McGovern and Srinivas Bangalore and Benjamin Stern},
booktitle = {ICASSP 2023},
year = {2023}
}