24 citations · 107 across the 39 of their papers we have counts for
6 papers · 1 filter
Mixture factorized auto-encoder for unsupervised hierarchical deep factorization of speech signal
Zhiyuan Peng, Siyuan Feng, Tan Lee
Speech signal is constituted and contributed by various informative factors, such as linguistic content and speaker characteristic. There have been notable recent studies attemptin…
Exploiting Cross-Lingual Speaker and Phonetic Diversity for Unsupervised Subword Modeling
Siyuan Feng, Tan Lee
This research addresses the problem of acoustic modeling of low-resource languages for which transcribed training data is absent. The goal is to learn robust frame-level feature re…
Improving Unsupervised Subword Modeling via Disentangled Speech Representation Learning and Transformation
Siyuan Feng, Tan Lee
This study tackles unsupervised subword modeling in the zero-resource scenario, learning frame-level speech representation that is phonetically discriminative and speaker-invariant…
Combining Adversarial Training and Disentangled Speech Representation for Robust Zero-Resource Subword Modeling
Siyuan Feng, Tan Lee, Zhiyuan Peng
This study addresses the problem of unsupervised subword unit discovery from untranscribed speech. It forms the basis of the ultimate goal of ZeroSpeech 2019, building text-to-spee…
An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia
Ying Qin, Yuzhong Wu, Tan Lee +1
Conventional automatic assessment of pathological speech usually follows two main steps: (1) extraction of pathology-specific features; (2) classification or regression on extracte…
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification
Yuzhong Wu, Tan Lee
Acoustic scene classification is the task of identifying the scene from which the audio signal is recorded. Convolutional neural network (CNN) models are widely adopted with proven…