4 papers
EDWARD-NMT: Elastic Dimensions With Adaptive Routing and Dual-consistency for Neural Machine Translation
Edward Nguyen, Thai Tran, Kiet Anh Hoang +4
Sparse Mixture-of-Experts (MoE) is a powerful paradigm for scaling Neural Machine Translation (NMT) and managing language heterogeneity. However, practical limitations hinder its d…
Towards Efficient Simultaneous Inverse Text Normalization with Pretrained Text-to-Text Language Model and Read-Tag-Write Policy
Kiet Anh Hoang, Khanh Le, Bao Nguyen +6
Streaming Inverse Text Normalization (ITN) is vital for converting spoken-form outputs from streaming Automatic Speech Recognition into formatted written text. Existing streaming I…
SETEAB: Multiscale approach with Squeeze-and-Excitation Temporal Enhanced Aware Block for Speech Emotion Recognition
Duy Vo, Kiet Anh Hoang, Hao Do
This paper proposes a novel lightweight multiscale architecture for speech emotion recognition (SER) with three key innovations. First, a depthwise convolution-based subsampling mo…
ViP-VL: Vietnamese Self-supervised Speech Pretraining Model with Vector-Quantization Learning
Khanh Le, Kiet Anh Hoang, Bao Nguyen +5
We present ViP-VL, an efficient Vietnamese Self-supervised speech Pretraining model leveraging Vector-quantization Learning. To bridge the gap between high-resolution audio and eff…