24 citations · 107 across the 39 of their papers we have counts for
6 papers · 1 filter
Multivariate Empirical Mode Decomposition of EEG for Mental State Detection at Localized Brain Lobes
Monira Islam, Tan Lee
In this study, the Multivariate Empirical Mode Decomposition (MEMD) approach is applied to extract features from multi-channel EEG signals for mental state classification. MEMD is…
MEMD-HHT based Emotion Detection from EEG using 3D CNN
Monira Islam, Tan Lee
In this study, the Multivariate Empirical Mode Decomposition (MEMD) is applied to multichannel EEG to obtain scale-aligned intrinsic mode functions (IMFs) as input features for emo…
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre
Guangyan Zhang, Ying Qin, Wenjie Zhang +5
The capability of generating speech with specific type of emotion is desired for many applications of human-computer interaction. Cross-speaker emotion transfer is a common approac…
An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech
Wei Liu, Jingyu Li, Tan Lee
The performance of child speech recognition is generally less satisfactory compared to adult speech due to limited amount of training data. Significant performance degradation is e…
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…