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eess.AS2024
WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction
Shuai Wang, Ke Zhang, Shaoxiong Lin +6
Target speaker extraction (TSE) focuses on isolating the speech of a specific target speaker from overlapped multi-talker speech, which is a typical setup in the cocktail party pro…
eess.AS2024
SA-WavLM: Speaker-Aware Self-Supervised Pre-training for Mixture Speech
Jingru Lin, Meng Ge, Junyi Ao +2
It was shown that pre-trained models with self-supervised learning (SSL) techniques are effective in various downstream speech tasks. However, most such models are trained on singl…
eess.AS2024
An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement
Qiquan Zhang, Meng Ge, Hongxu Zhu +4
Transformer architecture has enabled recent progress in speech enhancement. Since Transformers are position-agostic, positional encoding is the de facto standard component used to…