Haohe Liu

According to our database, Haohe Liu authored at least 45 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift.

Jisheng Bai, Mou Wang, Haohe Liu, Han Yin, Yafei Jia, Siwei Huang, Yutong Du, Dongzhe Zhang, Dongyuan Shi, Woon-Seng Gan, Mark D. Plumbley, Susanto Rahardja, Bin Xiang, Jianfeng Chen

CoRR, 2024

Learning Temporal Resolution in Spectrogram for Audio Classification.

Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning to detect an animal sound from five examples.

Inês Nolasco, Shubhr Singh, Veronica Morfi, Vincent Lostanlen, Ariana Strandburg-Peshkin, Ester Vidaña-Vila, Lisa F. Gill, Hanna Pamula, Helen Whitehead, Ivan Kiskin, Frants H. Jensen, Joe Morford, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Burooj Ghani, Dan Stowell

Ecol. Informatics, November, 2023

Balanced SNR-Aware Distillation for Guided Text-to-Audio Generation.

Bingzhi Liu, Yin Cao, Haohe Liu, Yi Zhou

CoRR, 2023

First-Shot Unsupervised Anomalous Sound Detection With Unknown Anomalies Estimated by Metadata-Assisted Audio Generation.

Hejing Zhang, Qiaoxi Zhu, Jian Guan, Haohe Liu, Feiyang Xiao, Jiantong Tian, Xinhao Mei, Xubo Liu, Wenwu Wang

CoRR, 2023

Synth-AC: Enhancing Audio Captioning with Synthetic Supervision.

Feiyang Xiao, Qiaoxi Zhu, Jian Guan, Xubo Liu, Haohe Liu, Kejia Zhang, Wenwu Wang

CoRR, 2023

Retrieval-Augmented Text-to-Audio Generation.

Yi Yuan, Haohe Liu, Xubo Liu, Qiushi Huang, Mark D. Plumbley, Wenwu Wang

CoRR, 2023

AudioSR: Versatile Audio Super-resolution at Scale.

Haohe Liu, Ke Chen, Qiao Tian, Wenwu Wang, Mark D. Plumbley

CoRR, 2023

Multimodal Fish Feeding Intensity Assessment in Aquaculture.

Meng Cui, Xubo Liu, Haohe Liu, Zhuangzhuang Du, Tao Chen, Guoping Lian, Daoliang Li, Wenwu Wang

CoRR, 2023

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining.

Haohe Liu, Qiao Tian, Yi Yuan, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Yuping Wang, Wenwu Wang, Yuxuan Wang, Mark D. Plumbley

CoRR, 2023

Separate Anything You Describe.

Xubo Liu, Qiuqiang Kong, Yan Zhao, Haohe Liu, Yi Yuan, Yuzhuo Liu, Rui Xia, Yuxuan Wang, Mark D. Plumbley, Wenwu Wang

CoRR, 2023

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies.

Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov

CoRR, 2023

WavJourney: Compositional Audio Creation with Large Language Models.

Xubo Liu, Zhongkai Zhu, Haohe Liu, Yi Yuan, Meng Cui, Qiushi Huang, Jinhua Liang, Yin Cao, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang

CoRR, 2023

Text-Driven Foley Sound Generation With Latent Diffusion Model.

Yi Yuan, Haohe Liu, Xubo Liu, Xiyuan Kang, Peipei Wu, Mark D. Plumbley, Wenwu Wang

CoRR, 2023

E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks.

Arshdeep Singh, Haohe Liu, Mark D. Plumbley

CoRR, 2023

Adapting Language-Audio Models as Few-Shot Audio Learners.

Jinhua Liang, Xubo Liu, Haohe Liu, Huy Phan, Emmanouil Benetos, Mark D. Plumbley, Wenwu Wang

CoRR, 2023

Latent Diffusion Model Based Foley Sound Generation System For DCASE Challenge 2023 Task 7.

Yi Yuan, Haohe Liu, Xubo Liu, Xiyuan Kang, Mark D. Plumbley, Wenwu Wang

CoRR, 2023

Learning to detect an animal sound from five examples.

Inês Nolasco, Shubhr Singh, Veronica Morfi, Vincent Lostanlen, Ariana Strandburg-Peshkin, Ester Vidaña-Vila, Lisa F. Gill, Hanna Pamula, Helen Whitehead, Ivan Kiskin, Frants H. Jensen, Joe Morford, Michael G. Emmerson, Elisabetta Versace, Emily Grout, Haohe Liu, Dan Stowell

CoRR, 2023

Universal Source Separation with Weakly Labelled Data.

Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley

CoRR, 2023

WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research.

Xinhao Mei, Chutong Meng, Haohe Liu, Qiuqiang Kong, Tom Ko, Chengqi Zhao, Mark D. Plumbley, Yuexian Zou, Wenwu Wang

CoRR, 2023

Leveraging Pre-trained AudioLDM for Text to Sound Generation: A Benchmark Study.

Yi Yuan, Haohe Liu, Jinhua Liang, Xubo Liu, Mark D. Plumbley, Wenwu Wang

CoRR, 2023

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.

Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley

Proceedings of the International Conference on Machine Learning, 2023

Simple Pooling Front-Ends for Efficient Audio Classification.

Xubo Liu, Haohe Liu, Qiuqiang Kong, Xinhao Mei, Mark D. Plumbley, Wenwu Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Pre-Trained AudioLDM for Sound Generation: A Benchmark Study.

Yi Yuan, Haohe Liu, Jinhua Liang, Xubo Liu, Mark D. Plumbley, Wenwu Wang

Proceedings of the 31st European Signal Processing Conference, 2023

2022

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech.

Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo P. Mandic

CoRR, 2022

Ontology-aware Learning and Evaluation for Audio Tagging.

Haohe Liu, Qiuqiang Kong, Xubo Liu, Xinhao Mei, Wenwu Wang, Mark D. Plumbley

CoRR, 2022

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention.

Xubo Liu, Qiushi Huang, Xinhao Mei, Haohe Liu, Qiuqiang Kong, Jianyuan Sun, Shengchen Li, Tom Ko, Yu Zhang, H. Lilian Tang, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang

CoRR, 2022

Learning the Spectrogram Temporal Resolution for Audio Classification.

Haohe Liu, Xubo Liu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

CoRR, 2022

Surrey System for DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection with Segment-level Metric Learning.

Haohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

CoRR, 2022

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis.

Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu

CoRR, 2022

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality.

Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Frank K. Soong, Tao Qin, Sheng Zhao, Tie-Yan Liu

CoRR, 2022

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis.

Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Audio Visual Multi-Speaker Tracking with Improved GCF and PMBM Filter.

Jinzheng Zhao, Peipei Wu, Xubo Liu, Shidrokh Goudarzi, Haohe Liu, Yong Xu, Wenwu Wang

Proceedings of the Interspeech 2022, 2022

VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration.

Haohe Liu, Xubo Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang

Proceedings of the Interspeech 2022, 2022

Separate What You Describe: Language-Queried Audio Source Separation.

Xubo Liu, Haohe Liu, Qiuqiang Kong, Xinhao Mei, Jinzheng Zhao, Qiushi Huang, Mark D. Plumbley, Wenwu Wang

Proceedings of the Interspeech 2022, 2022

Neural Vocoder is All You Need for Speech Super-resolution.

Haohe Liu, Woosung Choi, Xubo Liu, Qiuqiang Kong, Qiao Tian, DeLiang Wang

Proceedings of the Interspeech 2022, 2022

Leveraging Pre-trained BERT for Audio Captioning.

Xubo Liu, Xinhao Mei, Qiushi Huang, Jianyuan Sun, Jinzheng Zhao, Haohe Liu, Mark D. Plumbley, Volkan Kilic, Wenwu Wang

Proceedings of the 30th European Signal Processing Conference, 2022

Segment-Level Metric Learning for Few-Shot Bioacoustic Event Detection.

Haohe Liu, Xubo Liu, Xinhao Mei, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet.

Haohe Liu, Qiuqiang Kong, Jiafeng Liu

CoRR, 2021

VoiceFixer: Toward General Speech Restoration With Neural Vocoder.

Haohe Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang

CoRR, 2021

Joint Echo Cancellation and Noise Suppression based on Cascaded Magnitude and Complex Mask Estimation.

Xiaofeng Shu, Yehang Zhu, Yanjie Chen, Li Chen, Haohe Liu, Chuanzeng Huang, Yuxuan Wang

CoRR, 2021

Decoupling Magnitude and Phase Estimation with Deep ResUNet for Music Source Separation.

Qiuqiang Kong, Yin Cao, Haohe Liu, Keunwoo Choi, Yuxuan Wang

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Speech Enhancement with Weakly Labelled Data from AudioSet.

Qiuqiang Kong, Haohe Liu, Xingjian Du, Li Chen, Rui Xia, Yuxuan Wang

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Channel-Wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music.

Haohe Liu, Lei Xie, Jian Wu, Geng Yang

Proceedings of the Interspeech 2020, 2020

2019

Design and Visualization of Guided GAN on MNIST dataset.

Haohe Liu, Siqi Yao, Yulin Wang

Proceedings of the 3rd International Conference on Graphics and Signal Processing, 2019