mlsanityData to 14 Oct 2026

Trustera: A Live Conversation Redaction System

arXiv 2303.09438 ↗First posted 16 Mar 2023cs.CL cs.SD eess.AScited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 5 of its 22 references that are in the map. First posted on arXiv 16 Mar 2023.

Builds on

5 of 22 references.

References · 5

  1. 2019NeMo: a toolkit for building AI applications using Neural Modulescited by 235
  2. 2021Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognitioncited by 34
  3. 2020Uncertainty-aware Self-training for Text Classification with Few Labelscited by 20
  4. 2019Audio De-identification: A New Entity Recognition Taskcited by 16
  5. 2018End-to-end named entity extraction from speechcited by 11

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.