NTU-NPU System for Voice Privacy 2024 Challenge

B3 The baseline system B3 uses a Wasserstein generative adversarial In this work, we describe our submissions for the Voice Privacy network with Quadratic Transport Cost (WGAN-QC) [6] Challenge 2024. Rather than proposing a novel speech to generate artificial pseudo-speaker embeddings, anonymizing anonymization system, we enhance the provided baselines to the speaker's identity through four main steps: meet all required conditions and improve evaluated metrics. Specifically, we implement emotion embedding and experiment 1. Phonetic Transcriptions Extraction: Phonetic transcriptions with WavLM and ECAPA2 speaker embedders for the B3 baseline.