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Found 4 papers, 2 papers with code
Speaker Verification Experiments for Adults and Children Using Shared Embedding Spaces
For children, the system trained on a large corpus of adult speakers performed worse than a system trained on a much smaller corpus of children’s speech.
Spectral modification for recognition of children’s speech undermismatched conditions
The proposed method is used to improve the speech intelligibility to enhance the children’s speech recognition using an acoustic model trained on adult speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion Model
In this paper, we tackle the issue of data imbalance by incorporating synthetic data augmentation and leveraging the ResEmoteNet model to enhance the overall performance on facial emotion recognition task.
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition
In this work, we propose ResEmoteNet, a novel deep learning architecture for facial emotion recognition designed with the combination of Convolutional, Squeeze-Excitation (SE) and Residual Networks.
Ranked #1 on
Facial Expression Recognition (FER)
on RAF-DB
(using extra training data)
Facial Emotion Recognition
Facial Expression Recognition (FER)
