no code implementations • 29 Mar 2022 • Si-Ioi Ng, Cymie Wing-Yee Ng, Jiarui Wang, Tan Lee
This paper presents a macroscopic approach to automatic detection of speech sound disorder (SSD) in child speech.
no code implementations • 20 Nov 2021 • Si-Ioi Ng, Rui-Si Ma, Tan Lee, Raymond Kim-Wai Sum
The general wellness of a person is further related to his/her physical literacy (PL), which refers to a holistic description of engagement in PA.
no code implementations • 9 Oct 2021 • Si-Ioi Ng, Tan Lee
The underlying objective is to explore the feasibility of deploying LTR speech in the training of end-to-end (E2E) ASR models, as an attempt to data augmentation for improving the recognition performance.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 4 Oct 2021 • Ying Qin, Wei Liu, Zhiyuan Peng, Si-Ioi Ng, Jingyu Li, Haibo Hu, Tan Lee
Input to these classifiers are speech transcripts produced by automatic speech recognition (ASR) models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 20 Sep 2021 • Jingyu Li, Si-Ioi Ng, Tan Lee
Given the embeddings from a pair of input utterances, a graph model is designed to incorporate additional information from a group of embeddings representing the so-called auxiliary speakers.
no code implementations • 16 Jun 2021 • Si-Ioi Ng, Cymie Wing-Yee Ng, Jingyu Li, Tan Lee
This paper investigates a neural network based approach to detecting consonant errors in disordered speech using consonant-vowel (CV) diphone segment in comparison to using consonant monophone segment.