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检索条件"丛书名=Lecture notes in artificial intelligence,"
57438 条 记 录,以下是1-10 订阅
排序:
Separating Party Conversation by Applying Contrastive Learning Methodology  26th
Separating Party Conversation by Applying Contrastive Learni...
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26th International Conference on Speech and Computer
作者: Singaravelan, Anandakumar Hsu, Jia-Lien Fu Jen Catholic Univ Grad Inst Appl Sci & Engn Taipei Taiwan Fu Jen Catholic Univ Dept Comp Sci & Informat Engn Taipei Taiwan
Deep learning innovations have been pivotal in advancing the field of source separation, especially in challenging environments such as distinguishing parallel conversations at a party and utilizing virtual assistants...
来源: 评论
MQuA: Multi-level Query-Video Augmentation for Multilingual Video Corpus Retrieval  13th
MQuA: Multi-level Query-Video Augmentation for Multilingual ...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Yu, Guyang Bi, Xiaoyang Tang, Jielong Gu, Ming Chen, Tianbai Li, Zhiqiang Zhu, Miankuan China Elect Technol Grp Corp Res Inst 32 Shanghai Peoples R China Xiamen Univ Sch Aerosp Engn Xiamen Peoples R China Sun Yat Sen Univ Sch Artificial Intelligence Guangzhou Peoples R China
Multilingual Video Corpus Retrieval (mVCR) aims to localize the most relevant videos in a large collection of untrimmed bilingual instructional videos to a given natural language query. Existing methods often fall int...
来源: 评论
Sparse Mixture of Experts Language Models Excel in Knowledge Distillation  13th
Sparse Mixture of Experts Language Models Excel in Knowledge...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Xu, Haiyang Liu, Haoxiang Gong, Wei Wang, Hai Deng, Xianjun Univ Sci & Technol China Hefei 230026 Anhui Peoples R China Alibaba Grp Hangzhou Peoples R China Huazhong Univ Sci & Technol Sch Cyber Sci & Engn Wuhan Peoples R China Southeast Univ Sch Comp Sci & Engn Nanjing Peoples R China
Knowledge distillation is an effective method for reducing the computational overhead of large language models. However, recent optimization efforts in distilling large language models have primarily focused on loss f...
来源: 评论
FriendRec: A Graph Neural Network for Friend Recommendation  13th
FriendRec: A Graph Neural Network for Friend Recommendation
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Bai, Yun Lai, Zanyou Guangdong Univ Technol Guangzhou Guangdong Peoples R China
The friend recommendation service is instrumental in molding and enhancing the expansion of online social networks. Graph Neural Networks (GNNs) have become a powerful tool for learning graph data and have been widely...
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Emotion Recognition by Vocalizations of Nonhuman Primates: Human and Automatic Classification  26th
Emotion Recognition by Vocalizations of Nonhuman Primates: H...
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26th International Conference on Speech and Computer
作者: Froloya, Olga Matveev, Anton Lyakso, Elena Kuznetsova, Tamara Golubeva, Inna St Petersburg State Univ Child Speech Res Grp St Petersburg Russia Russian Acad Sci Pavlov Inst Physiol St Petersburg Russia
The presented study aimed to revealing the possibility of human recognition and automatic classification of the emotional states by vocalizations of rhesus macaques. This work is a continuation of the study of emotion...
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A Multilevel Interaction Network Framework for Multimodal Entity Linking  13th
A Multilevel Interaction Network Framework for Multimodal En...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Jia, Xiaoyu Nuo, Minghua Wang, Yao Zhang, Yuan Inner Mongolia Univ Coll Comp Sci Hohhot 010021 Inner Mongolia Peoples R China Natl & Local Joint Engn Res Ctr Intelligent Infor Hohhot 010021 Inner Mongolia Peoples R China Inner Mongolia Key Lab Multilingual Artificial In Hohhot 010021 Inner Mongolia Peoples R China
The task of Multimodal Entity Linking (MEL) aims to link ambiguous mentions in multimodal contexts to entities in a Multimodal Knowledge Graph. However, simple inter-modal interactions may result in deficiencies when ...
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Knowledge-Enhanced Utterance Domain Classification with Keywords-Assisted Concept Denoising Network  13th
Knowledge-Enhanced Utterance Domain Classification with Keyw...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Huang, Peijie Huang, Boxi Xu, Yuhong Chen, Weiting Li, Jia South China Agr Univ Coll Math & Informat Guangzhou Peoples R China
Utterance Domain Classification (UDC) is essential for Spoken Language Understanding (SLU), a task analogous to short text classification. Short texts are often challenging to understand due to their lack of context, ...
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Practical Evaluation and Validation of Methods for Automatic Speaker Identification (as Applied to Various Languages)  26th
Practical Evaluation and Validation of Methods for Automatic...
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26th International Conference on Speech and Computer
作者: Potapova, Rodmonga Potapov, Vsevolod Kuryanova, Irina Moscow State Linguist Univ Inst Appl & Math Linguist 38 Ostozhenka St Moscow 119034 Russia Lomonosov Moscow State Univ Ctr New Technol Humanities Leninskije Gory 1 Moscow 119991 Russia Moscow State Linguist Univ Inst Appl & Math Linguist Expt Phonet Lab Criminalist Speech Translat 38 Ostozhenka St Moscow 119034 Russia Moscow Res Ctr Dept Forens Linguist 5 Nizhnyaya Syromyatnicheskaya St Moscow 105120 Russia
The importance of using the results of phonoscopic examination in criminal proceedings is increasingly increasing: a voice, like a fingerprint, is individual;therefore the recognition of two voices as identical is ind...
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GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models  13th
GraphLLM: A General Framework for Multi-hop Question Answeri...
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13th International Conference on Natural Language Processing and Chinese Computing
作者: Qi, Zijian Li, Nan Huang, Chenxi Wang, Gangliang Liang, Shenglin Lin, Hui Guo, Qinglang Xiamen Univ Sch Informat Xiamen Peoples R China CETC Acad Elect & Informat Technol Grp Co Ltd Beijing Peoples R China Xidian Univ Xian Peoples R China
The task of multi-hop question answering over knowledge graphs (KGQA) is designed to identify answer entities for a given question through reasoning across multiple edges over KGs. This task presents persistent challe...
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Depression Classification Using Token Merging-Based Speech Spectrotemporal Transformer  26th
Depression Classification Using Token Merging-Based Speech S...
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26th International Conference on Speech and Computer
作者: Kumar, Lokesh Kaustubh, Kumar Prasanna, S. R. Mahadeva Indian Inst Technol Dharwad Dharwad Karnataka India
This paper introduces a novel approach for depression classification, utilizing multimodal token merging (ToMe) within a speech spectrotemporal transformer framework. The model's efficacy is evaluated with log-mel...
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