Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

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IEEE 3302-2022 - Adoption of Moving Picture, Audio and Data Coding by Artificial Intelligence (MPAI) Technical Specification Context-based Audio Enhancement (CAE) Version 1.2

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MPAI-CAE V1.4 is a collection of four Use Cases specifying AI based technologies for audio-related applications including entertainment, communication, post-production, teleconferencing, and restoration. The goal is to improve the user audio experience in a variety of situations, such as in the home, in the car, on the go, or in the studio, using context information to act on the input audio content, and delivering the processed audio output via an appropriate protocol. The Use Cases identified in MPAI-CAE V1.4 are Emotion Enhanced Speech (EES), Audio Recording Preservation (ARP), Speech Restoration System (SSR), and Enhanced Audioconference Experience (EAE). © Copyright 2022 IEEE – All rights reserved.

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