Zobrazeno 1 - 10
of 181
pro vyhledávání: '"Sun, Jianyuan"'
Autor:
Xiao, Feiyang, Guan, Jian, Zhu, Qiaoxi, Liu, Xubo, Wang, Wenbo, Qi, Shuhan, Zhang, Kejia, Sun, Jianyuan, Wang, Wenwu
Language-queried audio source separation (LASS) aims to separate an audio source guided by a text query, with the signal-to-distortion ratio (SDR)-based metrics being commonly used to objectively measure the quality of the separated audio. However, t
Externí odkaz:
http://arxiv.org/abs/2407.04936
Autor:
Zhao, Jinzheng, Xu, Yong, Qian, Xinyuan, Berghi, Davide, Wu, Peipei, Cui, Meng, Sun, Jianyuan, Jackson, Philip J. B., Wang, Wenwu
Audio-visual speaker tracking has drawn increasing attention over the past few years due to its academic values and wide application. Audio and visual modalities can provide complementary information for localization and tracking. With audio and visu
Externí odkaz:
http://arxiv.org/abs/2310.14778
Automated audio captioning (AAC) which generates textual descriptions of audio content. Existing AAC models achieve good results but only use the high-dimensional representation of the encoder. There is always insufficient information learning of hig
Externí odkaz:
http://arxiv.org/abs/2305.18753
Automated audio captioning is a cross-modal translation task for describing the content of audio clips with natural language sentences. This task has attracted increasing attention and substantial progress has been made in recent years. Captions gene
Externí odkaz:
http://arxiv.org/abs/2212.02033
Autor:
Liu, Xubo, Huang, Qiushi, Mei, Xinhao, Liu, Haohe, Kong, Qiuqiang, Sun, Jianyuan, Li, Shengchen, Ko, Tom, Zhang, Yu, Tang, Lilian H., Plumbley, Mark D., Kılıç, Volkan, Wang, Wenwu
Audio captioning aims to generate text descriptions of audio clips. In the real world, many objects produce similar sounds. How to accurately recognize ambiguous sounds is a major challenge for audio captioning. In this work, inspired by inherent hum
Externí odkaz:
http://arxiv.org/abs/2210.16428
Automated audio captioning (AAC) aims to describe the content of an audio clip using simple sentences. Existing AAC methods are developed based on an encoder-decoder architecture that success is attributed to the use of a pre-trained CNN10 called PAN
Externí odkaz:
http://arxiv.org/abs/2210.05037
Audio-text retrieval aims at retrieving a target audio clip or caption from a pool of candidates given a query in another modality. Solving such cross-modal retrieval task is challenging because it not only requires learning robust feature representa
Externí odkaz:
http://arxiv.org/abs/2203.15537
Autor:
Sun, Jianyuan, Liu, Xubo, Mei, Xinhao, Zhao, Jinzheng, Plumbley, Mark D., Kılıç, Volkan, Wang, Wenwu
Acoustic scene classification (ASC) aims to classify an audio clip based on the characteristic of the recording environment. In this regard, deep learning based approaches have emerged as a useful tool for ASC problems. Conventional approaches to imp
Externí odkaz:
http://arxiv.org/abs/2203.03436
Autor:
Liu, Xubo, Mei, Xinhao, Huang, Qiushi, Sun, Jianyuan, Zhao, Jinzheng, Liu, Haohe, Plumbley, Mark D., Kılıç, Volkan, Wang, Wenwu
Audio captioning aims at using natural language to describe the content of an audio clip. Existing audio captioning systems are generally based on an encoder-decoder architecture, in which acoustic information is extracted by an audio encoder and the
Externí odkaz:
http://arxiv.org/abs/2203.02838
Audio captioning aims at generating natural language descriptions for audio clips automatically. Existing audio captioning models have shown promising improvement in recent years. However, these models are mostly trained via maximum likelihood estima
Externí odkaz:
http://arxiv.org/abs/2110.06691