Search Results for author: Wenchang Cao

Found 8 papers, 3 papers with code

Lightweight Speaker Verification Using Transformation Module with Feature Partition and Fusion

no code implementations6 Dec 2023 Yanxiong Li, Zhongjie Jiang, Qisheng Huang, Wenchang Cao, Jialong Li

The features that are output from current block of the model are processed according to the steps above before they are fed into the next block of the model.

Speaker Verification

Low-Complexity Acoustic Scene Classification Using Data Augmentation and Lightweight ResNet

no code implementations3 Jun 2023 Yanxiong Li, Wenchang Cao, Wei Xie, Qisheng Huang, Wenfeng Pang, Qianhua He

This subtask focuses on classifying audio samples of multiple devices with a low-complexity model, where two main difficulties need to be overcome.

Acoustic Scene Classification Data Augmentation +2

Few-shot Class-incremental Audio Classification Using Stochastic Classifier

1 code implementation3 Jun 2023 Yanxiong Li, Wenchang Cao, Jialong Li, Wei Xie, Qianhua He

It is generally assumed that number of classes is fixed in current audio classification methods, and the model can recognize pregiven classes only.

Audio Classification

Few-Shot Speaker Identification Using Lightweight Prototypical Network with Feature Grouping and Interaction

no code implementations31 May 2023 Yanxiong Li, Hao Chen, Wenchang Cao, Qisheng Huang, Qianhua He

In the proposed embedding module, audio feature of each speech sample is split into several low-dimensional feature subsets that are transformed by a recurrent convolutional block in parallel.

Speaker Identification

Few-shot Class-incremental Audio Classification Using Dynamically Expanded Classifier with Self-attention Modified Prototypes

1 code implementation31 May 2023 Yanxiong Li, Wenchang Cao, Wei Xie, Jialong Li, Emmanouil Benetos

Labeled support samples and unlabeled query samples are used to train the prototype adaptation network and update the classifier, since they are informative for audio classification.

Audio Classification

Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network

1 code implementation4 Aug 2022 Yanxiong Li, Wenchang Cao, Konstantinos Drossos, Tuomas Virtanen

Automatic estimation of domestic activities from audio can be used to solve many problems, such as reducing the labor cost for nursing the elderly people.

Clustering

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

no code implementations24 Apr 2022 Yanxiong Li, Wucheng Wang, Hao Chen, Wenchang Cao, Wei Li, Qianhua He

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.

Audio Classification Few-Shot Learning +1

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