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In the research by Yin et al [32], they designed a 2-stream architecture that predicts amplitude and phase separately and further improves the performance. However, various research studies [33-35] have indicated that the conventional loss functions used in regression models (eg, L1 and L2) do not strongly correlate with speech quality, intelligibility, and word error rate. To address the issue of discriminator evaluation mismatch, Fu et al [36] introduced Metric GAN.
JMIR AI 2025;4:e67239
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