24 citations · 31 across the 10 of their papers we have counts for
10 papers
ToneUnit: A Speech Discretization Approach for Tonal Language Speech Synthesis
Dehua Tao, Daxin Tan, Yu Ting Yeung +2
Representing speech as discretized units has numerous benefits in supporting downstream spoken language processing tasks. However, the approach has been less explored in speech syn…
Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue
Daxin Tan, Nikos Kargas, David McHardy +6
Entrainment is the phenomenon by which an interlocutor adapts their speaking style to align with their partner in conversations. It has been found in different dimensions as acoust…
CorrectSpeech: A Fully Automated System for Speech Correction and Accent Reduction
Daxin Tan, Liqun Deng, Nianzu Zheng +4
This study propose a fully automated system for speech correction and accent reduction. Consider the application scenario that a recorded speech audio contains certain errors, e.g.…
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech
Guangyan Zhang, Kaitao Song, Xu Tan +8
Recently, leveraging BERT pre-training to improve the phoneme encoder in text to speech (TTS) has drawn increasing attention. However, the works apply pre-training with character-b…
A study on the efficacy of model pre-training in developing neural text-to-speech system
Guangyan Zhang, Yichong Leng, Daxin Tan +5
In the development of neural text-to-speech systems, model pre-training with a large amount of non-target speakers' data is a common approach. However, in terms of ultimately achie…
Environment Aware Text-to-Speech Synthesis
Daxin Tan, Guangyan Zhang, Tan Lee
This study aims at designing an environment-aware text-to-speech (TTS) system that can generate speech to suit specific acoustic environments. It is also motivated by the desire to…
Applying the Information Bottleneck Principle to Prosodic Representation Learning
Guangyan Zhang, Ying Qin, Daxin Tan +1
This paper describes a novel design of a neural network-based speech generation model for learning prosodic representation.The problem of representation learning is formulated acco…
EditSpeech: A Text Based Speech Editing System Using Partial Inference and Bidirectional Fusion
Daxin Tan, Liqun Deng, Yu Ting Yeung +3
This paper presents the design, implementation and evaluation of a speech editing system, named EditSpeech, which allows a user to perform deletion, insertion and replacement of wo…
CUHK-EE Voice Cloning System for ICASSP 2021 M2VoC Challenge
Daxin Tan, Hingpang Huang, Guangyan Zhang +1
This paper presents the CUHK-EE voice cloning system for ICASSP 2021 M2VoC challenge. The challenge provides two Mandarin speech corpora: the AIShell-3 corpus of 218 speakers with…
Fine-grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement
Daxin Tan, Tan Lee
This paper presents a novel design of neural network system for fine-grained style modeling, transfer and prediction in expressive text-to-speech (TTS) synthesis. Fine-grained mode…