36 citations · 195 across the 52 of their papers we have counts for
8 papers · 1 filter
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Shangeth Rajaa, Pham Van Tung, Chng Eng Siong
Speaker profiling, which aims to estimate speaker characteristics such as age and height, has a wide range of applications inforensics, recommendation systems, etc. In this work, w…
A Unified Speaker Adaptation Approach for ASR
Yingzhu Zhao, Chongjia Ni, Cheung-Chi Leung +3
Transformer models have been used in automatic speech recognition (ASR) successfully and yields state-of-the-art results. However, its performance is still affected by speaker mism…
Minimum word error training for non-autoregressive Transformer-based code-switching ASR
Yizhou Peng, Jicheng Zhang, Haihua Xu +2
Non-autoregressive end-to-end ASR framework might be potentially appropriate for code-switching recognition task thanks to its inherent property that present output token being ind…
Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition
Yuchen Hu, Nana Hou, Chen Chen +1
Speech enhancement (SE) aims to suppress the additive noise from a noisy speech signal to improve the speech's perceptual quality and intelligibility. However, the over-suppression…
Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization
Andrew Koh, Fuzhao Xue, Eng Siong Chng
In this paper, we examine the use of Transfer Learning using Pretrained Audio Neural Networks (PANNs), and propose an architecture that is able to better leverage the acoustic feat…
Multitask-Based Joint Learning Approach To Robust ASR For Radio Communication Speech
Duo Ma, Nana Hou, Van Tung Pham +2
To realize robust end-to-end Automatic Speech Recognition(E2E ASR) under radio communication condition, we propose a multitask-based method to joint train a Speech Enhancement (SE)…
E2E-based Multi-task Learning Approach to Joint Speech and Accent Recognition
Jicheng Zhang, Yizhou Peng, Pham Van Tung +3
In this paper, we propose a single multi-task learning framework to perform End-to-End (E2E) speech recognition (ASR) and accent recognition (AR) simultaneously. The proposed frame…
End-to-End Speaker Height and age estimation using Attention Mechanism with LSTM-RNN
Manav Kaushik, Van Tung Pham, Eng Siong Chng
Automatic height and age estimation of speakers using acoustic features is widely used for the purpose of human-computer interaction, forensics, etc. In this work, we propose a nov…