most citedFew-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

eess.AS2026

Few-Shot Class-Incremental Audio Classification Using Pseudo-Incrementally Trained Embedding Learner and Continually Updated Stochastic Classifier

Yanxiong Li, Wenchang Cao, Jiaxin Tan +2

Few-shot Class-incremental Audio Classification (FCAC) aims to progressively recognize incremental classes with few tagged samples and meanwhile memorize base classes. To achieve s…

eess.AS2022★ 1 cited

Few-Shot Speaker Identification Using Depthwise Separable Convolutional Network with Channel Attention

Yanxiong Li, Wucheng Wang, Hao Chen +3

Although few-shot learning has attracted much attention from the fields of image and audio classification, few efforts have been made on few-shot speaker identification. In the tas…