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Found 6 papers, 0 papers with code
Efficient infusion of self-supervised representations in Automatic Speech Recognition
Self-supervised learned (SSL) models such as Wav2vec and HuBERT yield state-of-the-art results on speech-related tasks.
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning
In this paper, we present the development of an isometric NMT system using Reinforcement Learning (RL), with a focus on optimizing the alignment of phoneme counts in the source and target language sentence pairs.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Fiducial Focus Augmentation for Facial Landmark Detection
To effectively utilize the newly proposed augmentation technique, we employ a Siamese architecture-based training mechanism with a Deep Canonical Correlation Analysis (DCCA)-based loss to achieve collective learning of high-level feature representations from two different views of the input images.
Ranked #1 on
Facial Landmark Detection
on WFLW
Revisiting Class Imbalance for End-to-end Semi-Supervised Object Detection
Semi-supervised object detection (SSOD) has made significant progress with the development of pseudo-label-based end-to-end methods.
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation
We introduce a new feature extractor to extract latent features from the audio and visual modality.
Ranked #10 on
Emotion Recognition in Conversation
on MELD
Smartphone Multi-modal Biometric Authentication: Database and Evaluation
One of the unique features of this dataset is that it is collected in four different geographic locations representing a diverse population and ethnicity.
