Search Results for author: Xiaoyang Qu

Found 9 papers, 1 papers with code

QSpeech: Low-Qubit Quantum Speech Application Toolkit

1 code implementation26 May 2022 Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Wei Tao, Jing Xiao

However, Quantum Neural Network (QNN) running on low-qubit quantum devices would be difficult since it is based on Variational Quantum Circuit (VQC), which requires many qubits.

DT-SV: A Transformer-based Time-domain Approach for Speaker Verification

no code implementations26 May 2022 Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao

Therefore, we propose an approach to derive utterance-level speaker embeddings via a Transformer architecture that uses a novel loss function named diffluence loss to integrate the feature information of different Transformer layers.

Speaker Verification

Leveraging Causal Inference for Explainable Automatic Program Repair

no code implementations26 May 2022 Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao

The experiments on four programming languages (Java, C, Python, and JavaScript) show that CPR can generate causal graphs for reasonable interpretations and boost the performance of bug fixing in automatic program repair.

Causal Inference Data Augmentation +2

Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection

no code implementations24 May 2022 Chendong Zhao, Jianzong Wang, Leilai Li, Xiaoyang Qu, Jing Xiao

In this work, we propose a novel task-adaptive module which is easy to plant into any metric-based few-shot learning frameworks.

Event Detection Few-Shot Learning +1

Federated Learning with Dynamic Transformer for Text to Speech

no code implementations9 Jul 2021 Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao, Jing Xiao

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.

Federated Learning

Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation

no code implementations23 Feb 2021 Xiaoyang Qu, Jianzong Wang, Jing Xiao

We add an activation regularizer and a virtual interpolation method to improve the data generation efficiency.

Knowledge Distillation

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