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FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning
Ju Yeon Kang, Ji Won Yoon, Semin Kim +2
Recently, fake audio detection has gained significant attention, as advancements in speech synthesis and voice conversion have increased the vulnerability of automatic speaker veri…
HILCodec: High-Fidelity and Lightweight Neural Audio Codec
Sunghwan Ahn, Beom Jun Woo, Min Hyun Han +2
The recent advancement of end-to-end neural audio codecs enables compressing audio at very low bitrates while reconstructing the output audio with high fidelity. Nonetheless, such…
EEND-DEMUX: End-to-End Neural Speaker Diarization via Demultiplexed Speaker Embeddings
Sung Hwan Mun, Min Hyun Han, Canyeong Moon +1
In recent years, there have been studies to further improve the end-to-end neural speaker diarization (EEND) systems. This letter proposes the EEND-DEMUX model, a novel framework u…