4 citations · 5 across the 7 of their papers we have counts for
7 papers
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…