3 accepted papers
Discrete speech representations have gained significant success in a variety of speech-related tasks. Among these, Neural Audio Codec (NAC), which serves as a compressed form of audio signals, have proven effective in speech AIGC applications. Moreover, we believe that the speaker information can be…
Utilizing the pseudo-labeling algorithm with large-scale unlabeled data becomes crucial for semi-supervised domain adaptation in speaker verification tasks. In this paper, we propose a novel pseudo-labeling method named Multi-objective Progressive Clustering (MoPC), specifically designed for semi-su…
In this paper, we introduce a large-scale and high-quality audiovisual speaker verification dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual data mining pipeline to curate this dataset, which contains 1.45M utterances from 38K speakers. Due to the inherent nature o…