Target Sound Extraction (TSE) is a technique for extracting sound events belonging to a target sound class in a mixture using a Deep Neural Network (DNN).
Apr 18, 2024 · ONLINE TARGET SOUND EXTRACTION WITH KNOWLEDGE DISTILLATION FROM PARTIALLY NON-CAUSAL TEACHER ; Session: AASP-P13: Target source extraction; ...
The experimental results show that the KD with the partially non-causal teacher improved SDR by 0.9 dB compared to the baseline causal system. We further ...
This work identifies that a causal network with a non-causal layer normalization provides a strong teacher from which it is easier to transfer knowledge to ...
Online Target Sound Extraction with Knowledge Distillation from Partially Non-Causal Teacher ... distillation methods where the knowledge of the teacher ...
Article "Online Target Sound Extraction with Knowledge Distillation from Partially Non-Causal Teacher" Detailed information of the J-GLOBAL is an ...
Online Target Sound Extraction With Knowledge Distillation From Partially Non-Causal Teacher. ICASSP 2024 - 2024 IEEE International Conference on Acoustics ...
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Oct 7, 2024 · Online Target Sound Extraction with Knowledge Distillation from Partially Non-Causal Teacher. ICASSP 2024: 561-565; 2022. [c3]. view. electronic ...
Online Target Sound Extraction with Knowledge Distillation from Partially Non-Causal Teacher · Fast Neural Architecture Search with Random Neural Tangent Kernel.
... target sound extraction (TSE) aims to extract a desired sound ... Online Target Sound Extraction with Knowledge Distillation from Partially Non-Causal Teacher.