今日论文合集：cs.SD语音27篇，eess.AS音频处理28篇。
cs.SD语音

【1】 Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation标题：利用一致性蒸馏加速基于扩散的文本-音频生成作者：Yatong Bai,Trung Dang,Dung Tran,Kazuhito Koishida,Somayeh Sojoudi机构：University of California, Berkeley, Applied Sciences Group, Microsoft Corporation链接：http://arxiv.org/pdf/2309.10740v1

【2】 MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation标题：MelodyGLM：符号旋律生成的多任务预训练作者：Xinda Wu,Zhijie Huang,Kejun Zhang,Jiaxing Yu,Xu Tan,Tieyao Zhang,Zihao Wang,Lingyun Sun机构：College of Computer Science and Technology, Zhejiang University, Hangzhou, China, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, China, Department of Electrical Engineering, Columbia University, New York, United States of America链接：http://arxiv.org/pdf/2309.10738v1
【3】 Sound Source Localization is All about Cross-Modal Alignment标题：声源定位完全是关于跨模式对齐作者：Arda Senocak,Hyeonggon Ryu,Junsik Kim,Tae-Hyun Oh,Hanspeter Pfister,Joon Son Chung机构：Korea Advanced Institute of Science and Technology, Harvard University, Dept. of Electrical Engineering and Grad. School of Artificial Intelligence, POSTECH, Institute for Convergence Research and Education in Advanced Technology, Yonsei University备注：ICCV 2023链接：http://arxiv.org/pdf/2309.10724v1【4】 Harmony and Duality: An introduction to Music Theory标题：和声与二元性：音乐理论导论作者：Maksim Lipyanskiy机构：arXiv:,.,v, [cs.SD] , Sep链接：http://arxiv.org/pdf/2309.10719v1【5】 USED: Universal Speaker Extraction and Diarization标题：使用：通用说话人提取和二值化作者：Junyi Ao,Mehmet Sinan Yıldırım,Meng Ge,Shuai Wang,Ruijie Tao,Yanmin Qian,Liqun Deng,Longshuai Xiao,Haizhou Li机构：The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China, Shenzhen Research Institute of Big Data, Shenzhen, China, Department of ECE, National University of Singapore, Singapore, Shanghai Jiao Tong University, Shanghai, China备注：Submitted to ICASSP 2024链接：http://arxiv.org/pdf/2309.10674v1【6】 Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping标题：用于零炮声景映射的学习三模嵌入作者：Subash Khanal,Srikumar Sastry,Aayush Dhakal,Nathan Jacobs机构：Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO, USA备注：Accepted at BMVC 2023链接：http://arxiv.org/pdf/2309.10667v1【7】 Motif-Centric Representation Learning for Symbolic Music标题：以母题为中心的符号音乐表征学习作者：Yuxuan Wu,Roger B. Dannenberg,Gus Xia机构：Music X Lab, MBZUAI, Carnegie Mellon University, NYU Shanghai链接：http://arxiv.org/pdf/2309.10597v1【8】 Multimodal Modeling For Spoken Language Identification标题：用于口语识别的多通道建模作者：Shikhar Bharadwaj,Min Ma,Shikhar Vashishth,Ankur Bapna,Sriram Ganapathy,Vera Axelrod,Siddharth Dalmia,Wei Han,Yu Zhang,Daan van Esch,Sandy Ritchie,Partha Talukdar,Jason Riesa机构：Google链接：http://arxiv.org/pdf/2309.10567v1【9】 Bridging the Spoof Gap: A Unified Parallel Aggregation Network for Voice Presentation Attacks标题：弥合欺骗鸿沟：针对语音呈现攻击的统一并行聚合网络作者：Awais Khan,Khalid Mahmood Malik机构：Department of Computer Science and Engineering, Oakland University, Rochester, MI , USA链接：http://arxiv.org/pdf/2309.10560v1【10】 A comparative study of Grid and Natural sentences effects on Normal-to-Lombard conversion标题：格子句和自然句对Normal-Lombard转换影响的比较研究作者：Hongyang Chen,Yuhong Yang,Qingmu Liu,Baifeng Li,Weiping Tu,Song Lin机构：National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China., Hubei Key Laboratory of Multimedia and Network Communication Engineering, Guangdong OPPO Mobile Telecommunications Corp., China.链接：http://arxiv.org/pdf/2309.10485v1【11】 Diffusion-based speech enhancement with a weighted generative-supervised learning loss标题：加权生成监督学习损失下基于扩散的语音增强作者：Jean-Eudes Ayilo,Mostafa Sadeghi,Romain Serizel机构：Universit´e de Lorraine, CNRS, Inria, LORIA, F-, Nancy, France链接：http://arxiv.org/pdf/2309.10457v1【12】 Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation标题：利用语义信息改进说话人二值化：联合成对约束传播作者：Luyao Cheng,Siqi Zheng,Qinglin Zhang,Hui Wang,Yafeng Chen,Qian Chen,Shiliang Zhang机构：Speech Lab, Alibaba Group备注：Submitted to ICASSP 2024链接：http://arxiv.org/pdf/2309.10456v1【13】 Unsupervised speech enhancement with diffusion-based generative models标题：基于扩散的生成模型的无监督语音增强作者：Berné Nortier,Mostafa Sadeghi,Romain Serizel机构：Universit´e de Lorraine, CNRS, Inria, LORIA, F-, Nancy, France链接：http://arxiv.org/pdf/2309.10450v1【14】 Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder标题：基于递归变分自动编码器的无监督语音增强后验采样算法作者：Mostafa Sadeghi,Romain Serizel机构：Universit´e de Lorraine, CNRS, Inria, LORIA, F-, Nancy, France链接：http://arxiv.org/pdf/2309.10439v1【15】 Hierarchical Modeling of Spatial Cues via Spherical Harmonics for Multi-Channel Speech Enhancement标题：基于球谐函数的多通道语音增强空间线索分层建模作者：Jiahui Pan,Shulin He,Hui Zhang,Xueliang Zhang机构：College of Computer Science, Inner Mongolia University, China链接：http://arxiv.org/pdf/2309.10393v1
【16】 PDPCRN: Parallel Dual-Path CRN with Bi-directional Inter-Branch Interactions for Multi-Channel Speech Enhancement标题：PDPCRN：用于多通道语音增强的双向分支交互并行双路径CRN作者：Jiahui Pan,Shulin He,Tianci Wu,Hui Zhang,Xueliang Zhang机构：College of Computer Science, Inner Mongolia University, China链接：http://arxiv.org/pdf/2309.10379v1【17】 Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition标题：利用语音PTM、文本LLM和情感TTS进行语音情感识别作者：Ziyang Ma,Wen Wu,Zhisheng Zheng,Yiwei Guo,Qian Chen,Shiliang Zhang,Xie Chen机构：MoE Key Lab of Artificial Intelligence, AI Institute, X-LANCE Lab, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, Department of Engineering, University of Cambridge, Cambridge, UK备注：This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible链接：http://arxiv.org/pdf/2309.10294v1【18】 Crowdotic: Transformer-based Occupancy Estimation for Hospital Waiting Rooms with Non-speech Audio and Differential Privacy标题：Crowdotic：基于Transformer的非语音音频和差分隐私医院候诊室入住率估计作者：Forsad Al Hossain,Tanjid Hasan Tonmoy,Andrew A. Lover,George A. Corey,Mohammad Arif Ul Alam,Tauhidur Rahman机构：University of Massachusetts Amherst, Amherst, MA, USA, Halıcıoğlu Data Science Institute, University of California, San Diego, San Diego, CA, USA, University of Massachusetts Lowell, Lowell, MA, USA链接：http://arxiv.org/pdf/2309.10280v1
【19】 AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models标题：AV-SUBERB：一种视听表征模型的多任务评价基准作者：Yuan Tseng,Layne Berry,Yi-Ting Chen,I-Hsiang Chiu,Hsuan-Hao Lin,Max Liu,Puyuan Peng,Yi-Jen Shih,Hung-Yu Wang,Haibin Wu,Po-Yao Huang,Chun-Mao Lai,Shang-Wen Li,David Harwath,Yu Tsao,Shinji Watanabe,Abdelrahman Mohamed,Chi-Luen Feng,Hung-yi Lee机构：National Taiwan University, Taiwan , University of Texas at Austin, USA, Academia Sinica, Taiwan , Meta AI , Carnegie Mellon University, USA , Rembrand备注：Submitted to ICASSP 2024; Evaluation Code: this https URL Submission Platform: this https URL链接：http://arxiv.org/pdf/2309.10787v1【20】 Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models标题：基于大语言模型的语料库零射ASR领域自适应作者：Hsuan Su,Ting-Yao Hu,Hema Swetha Koppula,Raviteja Vemulapalli,Jen-Hao Rick Chang,Karren Yang,Gautam Varma Mantena,Oncel Tuzel机构：♡National Taiwan University, ♢Apple链接：http://arxiv.org/pdf/2309.10707v1【21】 An Active Noise Control System Based on Soundfield Interpolation Using a Physics-informed Neural Network标题：基于物理信息神经网络的声场内插有源噪声控制系统作者：Yile,Zhang,Fei Ma,Thushara Abhayapala,Prasanga Samarasinghe,Amy Bastine机构：Audio and Acoustic Signal Processing Group, The Australian National University, Australia链接：http://arxiv.org/pdf/2309.10605v1【22】 FoleyGen: Visually-Guided Audio Generation标题：FoleyGen：视觉引导的音频生成作者：Xinhao Mei,Varun Nagaraja,Gael Le Lan,Zhaoheng Ni,Ernie Chang,Yangyang Shi,Vikas Chandra机构：Meta AI, USA, University of Surrey, Guildford, UK链接：http://arxiv.org/pdf/2309.10537v1【23】 Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition标题：在端到端语音识别中利用指令调谐的大语言模型的零击率作者：Yosuke Higuchi,Tetsuji Ogawa,Tetsunori Kobayashi机构：Department of Communications and Computer Engineering, Waseda University, Tokyo, Japan备注：Submitted to ICASSP2024链接：http://arxiv.org/pdf/2309.10524v1【24】 Incorporating Ultrasound Tongue Images for Audio-Visual Speech Enhancement标题：结合超声舌图像的视听语音增强作者：Rui-Chen Zheng,Yang Ai,Zhen-Hua Ling备注：Submmited to IEEEACM Transactions on Audio, Speech and Language Processing. arXiv admin note: text overlap with arXiv:2305.14933链接：http://arxiv.org/pdf/2309.10455v1【25】 Using fine-tuning and min lookahead beam search to improve Whisper标题：利用微调和最小前视波束搜索提高密码率作者：Andrea Do,Oscar Brown,Zhengjie Wang,Nikhil Mathew,Zixin Liu,Jawwad Ahmed,Cheng Yu机构：ML Research Labs⋆, Australian National University†备注：8 pages, submitted to IEEE ICASSP 2024链接：http://arxiv.org/pdf/2309.10299v1【26】 HTEC: Human Transcription Error Correction标题：HTEC：人类转录错误校正作者：Hanbo Sun,Jian Gao,Xiaomin Wu,Anjie Fang,Cheng Cao,Zheng Du备注：13 pages, 4 figures, 11 tables, AMLC 2023链接：http://arxiv.org/pdf/2309.10089v1【27】 Improving Speech Recognition for African American English With Audio Classification标题：利用音频分类改进非裔美国人英语的语音识别作者：Shefali Garg,Zhouyuan Huo,Khe Chai Sim,Suzan Schwartz,Mason Chua,Alëna Aksënova,Tsendsuren Munkhdalai,Levi King,Darryl Wright,Zion Mengesha,Dongseong Hwang,Tara Sainath,Françoise Beaufays,Pedro Moreno Mengibar机构：Google LLC链接：http://arxiv.org/pdf/2309.09996v1
eess.AS音频处理

【1】 Exploring Speech Enhancement for Low-resource Speech Synthesis标题：低资源语音合成中的语音增强研究作者：Zhaoheng Ni,Sravya Popuri,Ning Dong,Kohei Saijo,Xiaohui Zhang,Gael Le Lan,Yangyang Shi,Vikas Chandra,Changhan Wang机构：Meta AI, USA, Waseda University, Japan备注：Submitted to ICASSP 2024链接：http://arxiv.org/pdf/2309.10795v1

【2】 AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models标题：AV-SUBERB：一种视听表征模型的多任务评价基准作者：Yuan Tseng,Layne Berry,Yi-Ting Chen,I-Hsiang Chiu,Hsuan-Hao Lin,Max Liu,Puyuan Peng,Yi-Jen Shih,Hung-Yu Wang,Haibin Wu,Po-Yao Huang,Chun-Mao Lai,Shang-Wen Li,David Harwath,Yu Tsao,Shinji Watanabe,Abdelrahman Mohamed,Chi-Luen Feng,Hung-yi Lee机构：National Taiwan University, Taiwan , University of Texas at Austin, USA, Academia Sinica, Taiwan , Meta AI , Carnegie Mellon University, USA , Rembrand备注：Submitted to ICASSP 2024; Evaluation Code: this https URL Submission Platform: this https URL链接：http://arxiv.org/pdf/2309.10787v1
【3】 Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models标题：基于大语言模型的语料库零射ASR领域自适应作者：Hsuan Su,Ting-Yao Hu,Hema Swetha Koppula,Raviteja Vemulapalli,Jen-Hao Rick Chang,Karren Yang,Gautam Varma Mantena,Oncel Tuzel机构：♡National Taiwan University, ♢Apple链接：http://arxiv.org/pdf/2309.10707v1【4】 An Active Noise Control System Based on Soundfield Interpolation Using a Physics-informed Neural Network标题：基于物理信息神经网络的声场内插有源噪声控制系统作者：Yile,Zhang,Fei Ma,Thushara Abhayapala,Prasanga Samarasinghe,Amy Bastine机构：Audio and Acoustic Signal Processing Group, The Australian National University, Australia链接：http://arxiv.org/pdf/2309.10605v1
【5】 FoleyGen: Visually-Guided Audio Generation标题：FoleyGen：视觉引导的音频生成作者：Xinhao Mei,Varun Nagaraja,Gael Le Lan,Zhaoheng Ni,Ernie Chang,Yangyang Shi,Vikas Chandra机构：Meta AI, USA, University of Surrey, Guildford, UK链接：http://arxiv.org/pdf/2309.10537v1【6】 Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition标题：在端到端语音识别中利用指令调谐的大语言模型的零击率作者：Yosuke Higuchi,Tetsuji Ogawa,Tetsunori Kobayashi机构：Department of Communications and Computer Engineering, Waseda University, Tokyo, Japan备注：Submitted to ICASSP2024链接：http://arxiv.org/pdf/2309.10524v1【7】 Incorporating Ultrasound Tongue Images for Audio-Visual Speech Enhancement标题：结合超声舌图像的视听语音增强作者：Rui-Chen Zheng,Yang Ai,Zhen-Hua Ling备注：Submmited to IEEEACM Transactions on Audio, Speech and Language Processing. arXiv admin note: text overlap with arXiv:2305.14933链接：http://arxiv.org/pdf/2309.10455v1【8】 Using fine-tuning and min lookahead beam search to improve Whisper标题：利用微调和最小前视波束搜索提高密码率作者：Andrea Do,Oscar Brown,Zhengjie Wang,Nikhil Mathew,Zixin Liu,Jawwad Ahmed,Cheng Yu机构：ML Research Labs⋆, Australian National University†备注：8 pages, submitted to IEEE ICASSP 2024链接：http://arxiv.org/pdf/2309.10299v1【9】 HTEC: Human Transcription Error Correction标题：HTEC：人类转录错误校正作者：Hanbo Sun,Jian Gao,Xiaomin Wu,Anjie Fang,Cheng Cao,Zheng Du备注：13 pages, 4 figures, 11 tables, AMLC 2023链接：http://arxiv.org/pdf/2309.10089v1【10】 Improving Speech Recognition for African American English With Audio Classification标题：利用音频分类改进非裔美国人英语的语音识别作者：Shefali Garg,Zhouyuan Huo,Khe Chai Sim,Suzan Schwartz,Mason Chua,Alëna Aksënova,Tsendsuren Munkhdalai,Levi King,Darryl Wright,Zion Mengesha,Dongseong Hwang,Tara Sainath,Françoise Beaufays,Pedro Moreno Mengibar机构：Google LLC链接：http://arxiv.org/pdf/2309.09996v1【11】 Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation标题：利用一致性蒸馏加速基于扩散的文本-音频生成作者：Yatong Bai,Trung Dang,Dung Tran,Kazuhito Koishida,Somayeh Sojoudi机构：University of California, Berkeley, Applied Sciences Group, Microsoft Corporation链接：http://arxiv.org/pdf/2309.10740v1
【12】 MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation标题：MelodyGLM：符号旋律生成的多任务预训练作者：Xinda Wu,Zhijie Huang,Kejun Zhang,Jiaxing Yu,Xu Tan,Tieyao Zhang,Zihao Wang,Lingyun Sun机构：College of Computer Science and Technology, Zhejiang University, Hangzhou, China, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, China, Department of Electrical Engineering, Columbia University, New York, United States of America链接：http://arxiv.org/pdf/2309.10738v1【13】 Sound Source Localization is All about Cross-Modal Alignment标题：声源定位完全是关于跨模式对齐作者：Arda Senocak,Hyeonggon Ryu,Junsik Kim,Tae-Hyun Oh,Hanspeter Pfister,Joon Son Chung机构：Korea Advanced Institute of Science and Technology, Harvard University, Dept. of Electrical Engineering and Grad. School of Artificial Intelligence, POSTECH, Institute for Convergence Research and Education in Advanced Technology, Yonsei University备注：ICCV 2023链接：http://arxiv.org/pdf/2309.10724v1【14】 Harmony and Duality: An introduction to Music Theory标题：和声与二元性：音乐理论导论作者：Maksim Lipyanskiy机构：arXiv:,.,v, [cs.SD] , Sep链接：http://arxiv.org/pdf/2309.10719v1【15】 USED: Universal Speaker Extraction and Diarization标题：使用：通用说话人提取和二值化作者：Junyi Ao,Mehmet Sinan Yıldırım,Meng Ge,Shuai Wang,Ruijie Tao,Yanmin Qian,Liqun Deng,Longshuai Xiao,Haizhou Li机构：The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China, Shenzhen Research Institute of Big Data, Shenzhen, China, Department of ECE, National University of Singapore, Singapore, Shanghai Jiao Tong University, Shanghai, China备注：Submitted to ICASSP 2024链接：http://arxiv.org/pdf/2309.10674v1【16】 Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping标题：用于零炮声景映射的学习三模嵌入作者：Subash Khanal,Srikumar Sastry,Aayush Dhakal,Nathan Jacobs机构：Computer Science & Engineering, Washington University in St. Louis, St. Louis, MO, USA备注：Accepted at BMVC 2023链接：http://arxiv.org/pdf/2309.10667v1【17】 Motif-Centric Representation Learning for Symbolic Music标题：以母题为中心的符号音乐表征学习作者：Yuxuan Wu,Roger B. Dannenberg,Gus Xia机构：Music X Lab, MBZUAI, Carnegie Mellon University, NYU Shanghai链接：http://arxiv.org/pdf/2309.10597v1【18】 Multimodal Modeling For Spoken Language Identification标题：用于口语识别的多通道建模作者：Shikhar Bharadwaj,Min Ma,Shikhar Vashishth,Ankur Bapna,Sriram Ganapathy,Vera Axelrod,Siddharth Dalmia,Wei Han,Yu Zhang,Daan van Esch,Sandy Ritchie,Partha Talukdar,Jason Riesa机构：Google链接：http://arxiv.org/pdf/2309.10567v1【19】 Bridging the Spoof Gap: A Unified Parallel Aggregation Network for Voice Presentation Attacks标题：弥合欺骗鸿沟：针对语音呈现攻击的统一并行聚合网络作者：Awais Khan,Khalid Mahmood Malik机构：Department of Computer Science and Engineering, Oakland University, Rochester, MI , USA链接：http://arxiv.org/pdf/2309.10560v1【20】 A comparative study of Grid and Natural sentences effects on Normal-to-Lombard conversion标题：格子句和自然句对Normal-Lombard转换影响的比较研究作者：Hongyang Chen,Yuhong Yang,Qingmu Liu,Baifeng Li,Weiping Tu,Song Lin机构：National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China., Hubei Key Laboratory of Multimedia and Network Communication Engineering, Guangdong OPPO Mobile Telecommunications Corp., China.链接：http://arxiv.org/pdf/2309.10485v1【21】 Diffusion-based speech enhancement with a weighted generative-supervised learning loss标题：加权生成监督学习损失下基于扩散的语音增强作者：Jean-Eudes Ayilo,Mostafa Sadeghi,Romain Serizel机构：Universit´e de Lorraine, CNRS, Inria, LORIA, F-, Nancy, France链接：http://arxiv.org/pdf/2309.10457v1【22】 Improving Speaker Diarization using Semantic Information: Joint Pairwise Constraints Propagation标题：利用语义信息改进说话人二值化：联合成对约束传播作者：Luyao Cheng,Siqi Zheng,Qinglin Zhang,Hui Wang,Yafeng Chen,Qian Chen,Shiliang Zhang机构：Speech Lab, Alibaba Group备注：Submitted to ICASSP 2024链接：http://arxiv.org/pdf/2309.10456v1【23】 Unsupervised speech enhancement with diffusion-based generative models标题：基于扩散的生成模型的无监督语音增强作者：Berné Nortier,Mostafa Sadeghi,Romain Serizel机构：Universit´e de Lorraine, CNRS, Inria, LORIA, F-, Nancy, France链接：http://arxiv.org/pdf/2309.10450v1【24】 Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder标题：基于递归变分自动编码器的无监督语音增强后验采样算法作者：Mostafa Sadeghi,Romain Serizel机构：Universit´e de Lorraine, CNRS, Inria, LORIA, F-, Nancy, France链接：http://arxiv.org/pdf/2309.10439v1【25】 Hierarchical Modeling of Spatial Cues via Spherical Harmonics for Multi-Channel Speech Enhancement标题：基于球谐函数的多通道语音增强空间线索分层建模作者：Jiahui Pan,Shulin He,Hui Zhang,Xueliang Zhang机构：College of Computer Science, Inner Mongolia University, China链接：http://arxiv.org/pdf/2309.10393v1【26】 PDPCRN: Parallel Dual-Path CRN with Bi-directional Inter-Branch Interactions for Multi-Channel Speech Enhancement标题：PDPCRN：用于多通道语音增强的双向分支交互并行双路径CRN作者：Jiahui Pan,Shulin He,Tianci Wu,Hui Zhang,Xueliang Zhang机构：College of Computer Science, Inner Mongolia University, China链接：http://arxiv.org/pdf/2309.10379v1【27】 Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition标题：利用语音PTM、文本LLM和情感TTS进行语音情感识别作者：Ziyang Ma,Wen Wu,Zhisheng Zheng,Yiwei Guo,Qian Chen,Shiliang Zhang,Xie Chen机构：MoE Key Lab of Artificial Intelligence, AI Institute, X-LANCE Lab, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, Department of Engineering, University of Cambridge, Cambridge, UK备注：This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible链接：http://arxiv.org/pdf/2309.10294v1【28】 Crowdotic: Transformer-based Occupancy Estimation for Hospital Waiting Rooms with Non-speech Audio and Differential Privacy标题：Crowdotic：基于Transformer的非语音音频和差分隐私医院候诊室入住率估计作者：Forsad Al Hossain,Tanjid Hasan Tonmoy,Andrew A. Lover,George A. Corey,Mohammad Arif Ul Alam,Tauhidur Rahman机构：University of Massachusetts Amherst, Amherst, MA, USA, Halıcıoğlu Data Science Institute, University of California, San Diego, San Diego, CA, USA, University of Massachusetts Lowell, Lowell, MA, USA链接：http://arxiv.org/pdf/2309.10280v1
机器翻译，仅供参考