Random forest regression based acoustic event detection with bottleneck features. - Xianjun Xia; Roberto Togneri; Ferdous Ahmed Sohel; David Huang 001 (ICME, 2017)

Random forest classification based acoustic event detection. - Xianjun Xia; Roberto Togneri; Ferdous Ahmed Sohel; David Huang 001 (ICME, 2017)

Frame-Wise Dynamic Threshold Based Polyphonic Acoustic Event Detection. - Xianjun Xia; Roberto Togneri; Ferdous Ahmed Sohel; David Huang 001 (INTERSPEECH, 2017)

Confidence Based Acoustic Event Detection. - Xianjun Xia; Roberto Togneri; Ferdous Ahmed Sohel; David Huang 001 (ICASSP, 2018)

Local Binary Pattern with Random Forest for Acoustic Scene Classification. - Shamsiah Abidin; Xianjun Xia; Roberto Togneri; Ferdous Sohel (ICME, 2018)

Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features. - Xianjun Xia; Roberto Togneri; Ferdous Ahmed Sohel; David Huang 001 (Pattern Recognit., 2018)

A Primer on Deep Learning Architectures and Applications in Speech Processing. - Tokunbo Ogunfunmi; Ravi Prakash Ramachandran; Roberto Togneri; Yuanjun Zhao; Xianjun Xia (Circuits Syst. Signal Process., 2019)

A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection. - Xianjun Xia; Roberto Togneri; Ferdous Sohel; Yuanjun Zhao; Defeng Huang (Circuits Syst. Signal Process., 2019)

Auxiliary Classifier Generative Adversarial Network With Soft Labels in Imbalanced Acoustic Event Detection. - Xianjun Xia; Roberto Togneri; Ferdous Sohel; Defeng Huang (IEEE Trans. Multim., 2019)

Audio Sound Determination Using Feature Space Attention Based Convolution Recurrent Neural Network. - Xianjun Xia; Jingjing Pan; Yannan Wang (ICASSP, 2020)

Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (CoRR, 2020)

Sound Event Detection Using Multiple Optimized Kernels. - Xianjun Xia; Roberto Togneri; Ferdous Sohel; Yuanjun Zhao; Defeng David Huang (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Multi-Task Learning for Acoustic Event Detection Using Event and Frame Position Information. - Xianjun Xia; Roberto Togneri; Ferdous Sohel; Yuanjun Zhao; David Huang 001 (IEEE Trans. Multim., 2020)

A Two-Stage Approach to Device-Robust Acoustic Scene Classification. - Hu Hu; Chao-Han Huck Yang; Xianjun Xia; Xue Bai; Xin Tang; Yajian Wang; Shutong Niu; Li Chai 002; Juanjuan Li; Hongning Zhu; Feng Bao; Yuanjun Zhao; et al. (ICASSP, 2021)

A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification. - Chao-Han Huck Yang; Hu Hu; Sabato Marco Siniscalchi; Qing Wang 008; Yuyang Wang; Xianjun Xia; Yuanjun Zhao; Yuzhong Wu; Yannan Wang; Jun Du 002; Chin-Hui Lee 001 (CoRR, 2021)

An Exploration of Task-Decoupling on Two-Stage Neural Post Filter for Real-Time Personalized Acoustic Echo Cancellation. - Zihan Zhang; Jiayao Sun; Xianjun Xia; Ziqian Wang; Xiaopeng Yan; Yijian Xiao; Lei Xie 001 (ASRU, 2023)

A Progressive Neural Network for Acoustic Echo Cancellation. - Zhuangqi Chen; Xianjun Xia; Siyu Sun; Ziqian Wang; Cheng Chen; Guoliang Xie; Pingjian Zhang; Yijian Xiao (ICASSP, 2023)

The Ajmide Topic Segmentation System for the ICASSP 2023 General Meeting Understanding and Generation Challenge. - Beibei Hu; Qiang Li; Xianjun Xia (ICASSP, 2023)

Personalized Speech Enhancement Combining Band-Split RNN and Speaker Attentive Module. - Xiaohuai Le; Li Chen; Chao He; Yiqing Guo; Cheng Chen; Xianjun Xia; Jing Lu (ICASSP, 2023)

Two-Stage Neural Network for ICASSP 2023 Speech Signal Improvement Challenge. - Mingshuai Liu; Shubo Lv; Zihan Zhang; Runduo Han; Xiang Hao; Xianjun Xia; Li Chen; Yijian Xiao; Lei Xie 001 (ICASSP, 2023)

A Lightweight Fourier Convolutional Attention Encoder for Multi-Channel Speech Enhancement. - Siyu Sun; Jian Jin; Zhe Han; Xianjun Xia; Li Chen; Yijian Xiao; Piao Ding; Shenyi Song; Roberto Togneri; Haijian Zhang (ICASSP, 2023)

A Two-stage Progressive Neural Network for Acoustic Echo Cancellation. - Zhuangqi Chen; Xianjun Xia; Cheng Chen; Xianke Wang; Yanhong Leng; Li Chen; Roberto Togneri; Yijian Xiao; Piao Ding; Shenyi Song; Pingjian Zhang (INTERSPEECH, 2023)

Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model. - Xiaohuai Le; Tong Lei; Li Chen; Yiqing Guo; Chao He; Cheng Chen; Xianjun Xia; Hua Gao; Yijian Xiao; Piao Ding; Shenyi Song; Jing Lu (INTERSPEECH, 2023)

An Intra-BRNN and GB-RVQ Based END-TO-END Neural Audio Codec. - Linping Xu; Jiawei Jiang; Dejun Zhang; Xianjun Xia; Li Chen; Yijian Xiao; Piao Ding; Shenyi Song; Sixing Yin; Ferdous Sohel (INTERSPEECH, 2023)

Personalized speech enhancement combining band-split RNN and speaker attentive module. - Xiaohuai Le; Zhongshu Hou; Li Chen; Chao He; Yiqing Guo; Cheng Chen; Xianjun Xia; Jing Lu (CoRR, 2023)

Rad-Net: A Repairing and Denoising Network for Speech Signal Improvement. - Mingshuai Liu; Zhuangqi Chen; Xiaopeng Yan; Yuanjun Lv; Xianjun Xia; Chuanzeng Huang; Yijian Xiao; Lei Xie 001 (ICASSP Workshops, 2024)

Bs-Plcnet: Band-Split Packet Loss Concealment Network with Multi-Task Learning Framework and Multi-Discriminators. - Zihan Zhang; Jiayao Sun; Xianjun Xia; Chuanzeng Huang; Yijian Xiao; Lei Xie 001 (ICASSP Workshops, 2024)

RaD-Net 2: A causal two-stage repairing and denoising speech enhancement network with knowledge distillation and complex axial self-attention. - Mingshuai Liu; Zhuangqi Chen; Xiaopeng Yan; Yuanjun Lv; Xianjun Xia; Chuanzeng Huang; Yijian Xiao; Lei Xie 001 (INTERSPEECH, 2024)

BS-PLCNet 2: Two-stage Band-split Packet Loss Concealment Network with Intra-model Knowledge Distillation. - Zihan Zhang; Xianjun Xia; Chuanzeng Huang; Yijian Xiao; Lei Xie 001 (INTERSPEECH, 2024)

FAF-Filt: Frequency-aware Fourier Filter for Sound Event Detection. - Siyu Sun; Xiaohuai Le; Zhuangqi Chen; Xianjun Xia; Chuanzeng Huang (ICASSP, 2025)

U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding. - Ziqian Wang; Xianjun Xia; Xinfa Zhu; Lei Xie 001 (CoRR, 2025)