IEEE International Conference on Acoustics Speech and Signal Processing 2022 — accepted papers
IEEE International Conference on Acoustics Speech and Signal Processing 2022 is the 2022 edition of the IEEE International Conference on Acoustics Speech and Signal Processing. OpenAlex lists 1,872 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- Mixed Transformer U-Net for Medical Image Segmentation ↗Hongyi Wang, Shiao Xie, Lanfen Lin et al.383 citations
- AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks ↗Jee-weon Jung, Hee-Soo Heo, Hemlata Tak et al.373 citations
- Audioclip: Extending Clip to Image, Text and Audio ↗Andrey Guzhov, Federico Raue, Jorn Hees et al.301 citations
- HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection ↗Ke Chen, Xingjian Du, Bilei Zhu et al.269 citations
- MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations ↗Dou Hu, Xiaolong Hou, Lingwei Wei et al.242 citations
- Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors ↗Chandan K. A. Reddy, Vishak Gopal, Ross Cutler240 citations
- Quantum Long Short-Term Memory ↗Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang233 citations
- Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control ↗Mingyu Yang, Hun-Seok Kim189 citations
- Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model ↗Ying Shen, Huiyu Yang, Lin Lin185 citations
- Conditional Diffusion Probabilistic Model for Speech Enhancement ↗Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe et al.185 citations
All accepted papers (1,872)
- Mixed Transformer U-Net for Medical Image Segmentation ↗Hongyi Wang, Shiao Xie, Lanfen Lin et al.383 citations
- AASIST: Audio Anti-Spoofing Using Integrated Spectro-Temporal Graph Attention Networks ↗Jee-weon Jung, Hee-Soo Heo, Hemlata Tak et al.373 citations
- Audioclip: Extending Clip to Image, Text and Audio ↗Andrey Guzhov, Federico Raue, Jorn Hees et al.301 citations
- HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection ↗Ke Chen, Xingjian Du, Bilei Zhu et al.269 citations
- MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations ↗Dou Hu, Xiaolong Hou, Lingwei Wei et al.242 citations
- Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors ↗Chandan K. A. Reddy, Vishak Gopal, Ross Cutler240 citations
- Quantum Long Short-Term Memory ↗Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang233 citations
- Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control ↗Mingyu Yang, Hun-Seok Kim189 citations
- Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model ↗Ying Shen, Huiyu Yang, Lin Lin185 citations
- Conditional Diffusion Probabilistic Model for Speech Enhancement ↗Yen-Ju Lu, Zhong-Qiu Wang, Shinji Watanabe et al.185 citations
- Wav2CLIP: Learning Robust Audio Representations from Clip ↗Ho-Hsiang Wu, Prem Seetharaman, Kundan Kumar et al.182 citations
- Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information ↗Heqing Zou, Yuke Si, Chen Chen et al.166 citations
- ADD 2022: the first Audio Deep Synthesis Detection Challenge ↗Jiangyan Yi, Ruibo Fu, Jianhua Tao et al.163 citations
- WENETSPEECH: A 10000+ Hours Multi-Domain Mandarin Corpus for Speech Recognition ↗Binbin Zhang, Hang Lv, Pengcheng Guo et al.155 citations
- Icassp 2022 Deep Noise Suppression Challenge ↗Harishchandra Dubey, Vishak Gopal, Ross Cutler et al.147 citations
- DPT-FSNet: Dual-Path Transformer Based Full-Band and Sub-Band Fusion Network for Speech Enhancement ↗Feng Dang, Hangting Chen, Pengyuan Zhang138 citations
- Generalization Ability of MOS Prediction Networks ↗Erica Cooper, Wen-Chin Huang, Tomoki Toda et al.135 citations
- Speech Emotion Recognition Using Self-Supervised Features ↗Edmilson Da Silva Morais, Ron Hoory, Weizhong Zhu et al.134 citations
- Confidence-Aware Multi-Teacher Knowledge Distillation ↗Hailin Zhang, Defang Chen, Can Wang127 citations
- TitaNet: Neural Model for Speaker Representation with 1D Depth-Wise Separable Convolutions and Global Context ↗Nithin Rao Koluguri, Taejin Park, Boris Ginsburg118 citations
- Distilhubert: Speech Representation Learning by Layer-Wise Distillation of Hidden-Unit Bert ↗Heng-Jui Chang, Shu-Wen Yang, Hung-yi Lee115 citations
- LIGHT-SERNET: A Lightweight Fully Convolutional Neural Network for Speech Emotion Recognition ↗Arya Aftab, Alireza Morsali, Shahrokh Ghaemmaghami et al.114 citations
- The Dawn of Quantum Natural Language Processing ↗R. Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen et al.114 citations
- Deepfilternet: A Low Complexity Speech Enhancement Framework for Full-Band Audio Based On Deep Filtering ↗Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz et al.112 citations
- FullSubNet+: Channel Attention Fullsubnet with Complex Spectrograms for Speech Enhancement ↗Jun Chen, Zilin Wang, Deyi Tuo et al.112 citations
Papers with our summary in our library (2)
- Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation AssessmentIEEE International Conference on Acoustics Speech and Signal ProcessingYuan Gong, Ziyi Chen, Iek-Heng Chu, et al.2022 · 59 citations
- Study on the Fairness of Speaker Verification Systems on Underrepresented Accents in EnglishIEEE International Conference on Acoustics Speech and Signal ProcessingMariel Estevez, Luciana Ferrer2022 · 7 citations
Top topics
English (2)Bias, fairness & safety (1)
Fields
Arts and Humanities (2)Computer Science (2)Psychology (1)Social Sciences (1)
Top authors
Top institutions
🏛️Consejo Nacional de Investigaciones Científicas y TécnicasBuenos Aires ·
Argentina1 work here🎓Universidad de Buenos AiresBuenos Aires ·
Argentina1 work here🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge ·
United States1 work here🎓Massachusetts Institute of TechnologyCambridge ·
United States1 work here
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