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eess.AS2023
Pyramid Multi-branch Fusion DCNN with Multi-Head Self-Attention for Mandarin Speech Recognition
Kai Liu, Hailiang Xiong, Gangqiang Yang +3
As one of the major branches of automatic speech recognition, attention-based models greatly improves the feature representation ability of the model. In particular, the multi-head…
eess.AS2023★ 3 cited
X-SepFormer: End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusion
Kai Liu, Ziqing Du, Xucheng Wan +1
Target speech extraction (TSE) systems are designed to extract target speech from a multi-talker mixture. The popular training objective for most prior TSE networks is to enhance r…
cs.SD2023
Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddings
Kai Liu, Xucheng Wan, Ziqing Du +1
As a practical alternative of speech separation, target speaker extraction (TSE) aims to extract the speech from the desired speaker using additional speaker cue extracted from the…