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Found 10 papers, 3 papers with code
3d human motion generation from the text via gesture action classification and the autoregressive model
To achieve the goal, the proposed method predicts expression from the sentences using a text classification model based on a pretrained language model and generates gestures using the gate recurrent unit-based autoregressive model.
Discriminatory and orthogonal feature learning for noise robust keyword spotting
In order to train the network for more robust performance in noisy environments, we introduce the LOw Variant Orthogonal (LOVO) loss.
Efficient dynamic filter for robust and low computational feature extraction
However, the performance of the dynamic filter might be degraded since simple feature pooling is used to reduce the computational resource in the IDF part.
A Lightweight dynamic filter for keyword spotting
Keyword Spotting (KWS) from speech signals is widely applied to perform fully hands-free speech recognition.
Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments
In this paper, a built-in memory module for semantic segmentation is proposed to overcome these problems.
Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures
Sound event detection is an important facet of audio tagging that aims to identify sounds of interest and define both the sound category and time boundaries for each sound event in a continuous recording.
Few-shot Learning for CT Scan based COVID-19 Diagnosis
To compensate for the sparseness of labeled data, the proposed method utilizes a large amount of synthetic COVID-19 CT images and adjusts the networks from the source domain (synthetic data) to the target domain (real data) with a cross-domain training mechanism.
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
The goal of face attribute editing is altering a facial image according to given target attributes such as hair color, mustache, gender, etc.
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement
Performance of learning based Automatic Speech Recognition (ASR) is susceptible to noise, especially when it is introduced in the testing data while not presented in the training data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Sinusoidal wave generating network based on adversarial learning and its application: synthesizing frog sounds for data augmentation
Audio waveform generation can then be performed using the proposed network.
