Qiquan Zhang

Orcid: 0000-0001-5089-6317

According to our database1, Qiquan Zhang authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep Cross-Modal Retrieval Between Spatial Image and Acoustic Speech.
IEEE Trans. Multim., 2024

When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection.
CoRR, 2024

Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model.
CoRR, 2024

An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement.
CoRR, 2024

2023
An MMSE graph spectral magnitude estimator for speech signals residing on an undirected multiple graph.
EURASIP J. Audio Speech Music. Process., December, 2023

Speech-Oriented Sparse Attention Denoising for Voice User Interface Toward Industry 5.0.
IEEE Trans. Ind. Informatics, 2023

Neural-Free Attention for Monaural Speech Enhancement Toward Voice User Interface for Consumer Electronics.
IEEE Trans. Consumer Electron., 2023

A Time-Frequency Attention Module for Neural Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

PoE: A Panel of Experts for Generalized Automatic Dialogue Assessment.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

EEG-Derived Voice Signature for Attended Speaker Detection.
CoRR, 2023

Ripple Sparse Self-Attention for Monaural Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Deep Audio-Visual Beamforming for Speaker Localization.
IEEE Signal Process. Lett., 2022

A new multilayer graph model for speech signals with graph learning.
Digit. Signal Process., 2022

Time-Frequency Attention for Monaural Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
PhaseDCN: A Phase-Enhanced Dual-Path Dilated Convolutional Network for Single-Channel Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Auditory attention decoding from electroencephalography based on long short-term memory networks.
Biomed. Signal Process. Control., 2021

Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Learning reinforced attentional representation for end-to-end visual tracking.
Inf. Sci., 2020

Probability decision-driven speech enhancement algorithm based on human acoustic perception.
IET Signal Process., 2020

Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals.
Complex., 2020

2019
A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator.
Digit. Signal Process., 2019

Learning Reinforced Attentional Representation for End-to-End Visual Tracking.
CoRR, 2019

Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging.
IEEE Access, 2019

Identification of Emotional Valences via Memory-Informed Deep Neural Network with Entropy Features.
Proceedings of the 4th International Conference on Multimedia Systems and Signal Processing, 2019

2018
Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning.
Entropy, 2018

2017
Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity.
Entropy, 2017


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