4 citations · 5 across the 8 of their papers we have counts for
8 papers
3D Face Arbitrary Style Transfer
Xiangwen Deng, Yingshuang Zou, Yuanhao Cai +6
Style transfer of 3D faces has gained more and more attention. However, previous methods mainly use images of artistic faces for style transfer while ignoring arbitrary style image…
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
Chendong Zhao, Jianzong Wang, Xiaoyang Qu +2
Unsupervised representation learning for speech audios attained impressive performances for speech recognition tasks, particularly when annotated speech is limited. However, the un…
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
Chendong Zhao, Jianzong Wang, Wen qi Wei +3
The Transformer architecture model, based on self-attention and multi-head attention, has achieved remarkable success in offline end-to-end Automatic Speech Recognition (ASR). Howe…
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
Nan Zhang, Jianzong Wang, Zhenhou Hong +3
Speaker verification (SV) aims to determine whether the speaker's identity of a test utterance is the same as the reference speech. In the past few years, extracting speaker embedd…
QSpeech: Low-Qubit Quantum Speech Application Toolkit
Zhenhou Hong, Jianzong Wang, Xiaoyang Qu +3
Quantum devices with low qubits are common in the Noisy Intermediate-Scale Quantum (NISQ) era. However, Quantum Neural Network (QNN) running on low-qubit quantum devices would be d…
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
Chendong Zhao, Jianzong Wang, Leilai Li +2
Sound event detection is to infer the event by understanding the surrounding environmental sounds. Due to the scarcity of rare sound events, it becomes challenging for the well-tra…
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation
Chendong Zhao, Jianzong Wang, Xiaoyang Qu +2
Grapheme-to-phoneme (G2P) conversion is the process of converting the written form of words to their pronunciations. It has an important role for text-to-speech (TTS) synthesis and…
Federated Learning with Dynamic Transformer for Text to Speech
Zhenhou Hong, Jianzong Wang, Xiaoyang Qu +3
Text to speech (TTS) is a crucial task for user interaction, but TTS model training relies on a sizable set of high-quality original datasets. Due to privacy and security issues, t…