Trustera: A Live Conversation Redaction System

Autor:	Gouvêa, Evandro, Dadgar, Ali, Jalalvand, Shahab, Chengalvarayan, Rathi, Jayakumar, Badrinath, Price, Ryan, Ruiz, Nicholas, McGovern, Jennifer, Bangalore, Srinivas, Stern, Ben
Rok vydání:	2023
Předmět:	Computer Science - Computation and Language Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	Trustera, 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. Comment: 5
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.09438 Zobrazit plný text záznamu View this record from Arxiv