Audio Captioning Transformer

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T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient estimation of word representations in vector space,”
Original
2013
Earlier work this paper cites.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,”
Original
2014
Earlier work this paper cites.
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, “Rethinking the inception architecture for computer vision,” in
2016
Earlier work this paper cites.
K. Drossos, S. Adavanne, and T. Virtanen, “Automated audio captioning with recurrent neural networks,” in
2017
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” in
2017
Earlier work this paper cites.
J. F. Gemmeke, D. P. W. Ellis, D. Freedman, A. Jansen, W. Lawrence, R. C. Moore, M. Plakal, and M. Ritter, “Audio set: An ontology and human-labeled dataset for audio events,” in
2017
Earlier work this paper cites.
M. Wu, H. Dinkel, and K. Yu, “Audio caption: Listen and tell,” in
2019
Earlier work this paper cites.
C. D. Kim, B. Kim, H. Lee, and G. Kim, “Audiocaps: Generating captions for audios in the wild,” in
2019
Earlier work this paper cites.
S. Ikawa and K. Kashino, “Neural audio captioning based on conditional sequence-to-sequence model,”
2019
Earlier work this paper cites.

A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever
2019
Cited alongside, same era.
D. S. Park, W. Chan, Y. Zhang, C.-C. Chiu, B. Zoph, E. D. Cubuk, and Q. V. Le, “Specaugment: A simple data augmentation method for automatic speech recognition,”
Original
2019
Cited alongside, same era.
Q. Kong, C. Yu, Y. Xu, T. Iqbal, W. Wang, and M. D. Plumbley, “Weakly labelled audioset tagging with attention neural networks,”
2019
Cited alongside, same era.
Q. Kong, Y. Cao, T. Iqbal, Y. Wang, W. Wang, and M. D. Plumbley, “Panns: Large-scale pretrained audio neural networks for audio pattern recognition,”
2020
Cited alongside, same era.
K. Chen, Y. Wu, Z. Wang, X. Zhang, F. Nian, S. Li, and X. Shao, “Audio captioning based on transformer and pre-trained cnn,” in
2020
Cited alongside, same era.

D. Takeuchi, Y. Koizumi, Y. Ohishi, N. Harada, and K. Kashino, “Effects of word-frequency based pre-and post-processings for audio captioning,”
Original
2020
Later among the works it cites.
Y. Koizumi, Y. Ohishi, D. Niizumi, D. Takeuchi, and M. Yasuda, “Audio captioning using pre-trained large-scale language model guided by audio-based similar caption retrieval,”
Original
2020
Later among the works it cites.
X. Xu, H. Dinkel, M. Wu, and K. Yu, “A crnn-gru based reinforcement learning approach to audio captioning,” in
2020
Later among the works it cites.
X. Xu, H. Dinkel, M. Wu, Z. Xie, and K. Yu, “Investigating local and global information for automated audio captioning with transfer learning,” in
2021
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Reading the bibliography…

Audio Captioning Transformer · Around

T. Mikolov, K. Chen, G. Corrado, and J. Dean, “Efficient estimation of word representations in vector space,”
Original
2013
Earlier work this paper cites.
D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,”
Original
2014
Earlier work this paper cites.
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, “Rethinking the inception architecture for computer vision,” in
2016
Earlier work this paper cites.
K. Drossos, S. Adavanne, and T. Virtanen, “Automated audio captioning with recurrent neural networks,” in
2017
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” in
2017
Earlier work this paper cites.
J. F. Gemmeke, D. P. W. Ellis, D. Freedman, A. Jansen, W. Lawrence, R. C. Moore, M. Plakal, and M. Ritter, “Audio set: An ontology and human-labeled dataset for audio events,” in
2017
Earlier work this paper cites.
M. Wu, H. Dinkel, and K. Yu, “Audio caption: Listen and tell,” in
2019
Earlier work this paper cites.
C. D. Kim, B. Kim, H. Lee, and G. Kim, “Audiocaps: Generating captions for audios in the wild,” in
2019
Earlier work this paper cites.
S. Ikawa and K. Kashino, “Neural audio captioning based on conditional sequence-to-sequence model,”
2019
Earlier work this paper cites.

A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever
2019
Cited alongside, same era.
D. S. Park, W. Chan, Y. Zhang, C.-C. Chiu, B. Zoph, E. D. Cubuk, and Q. V. Le, “Specaugment: A simple data augmentation method for automatic speech recognition,”
Original
2019
Cited alongside, same era.
Q. Kong, C. Yu, Y. Xu, T. Iqbal, W. Wang, and M. D. Plumbley, “Weakly labelled audioset tagging with attention neural networks,”
2019
Cited alongside, same era.
Q. Kong, Y. Cao, T. Iqbal, Y. Wang, W. Wang, and M. D. Plumbley, “Panns: Large-scale pretrained audio neural networks for audio pattern recognition,”
2020
Cited alongside, same era.
K. Chen, Y. Wu, Z. Wang, X. Zhang, F. Nian, S. Li, and X. Shao, “Audio captioning based on transformer and pre-trained cnn,” in
2020
Cited alongside, same era.

D. Takeuchi, Y. Koizumi, Y. Ohishi, N. Harada, and K. Kashino, “Effects of word-frequency based pre-and post-processings for audio captioning,”
Original
2020
Later among the works it cites.
Y. Koizumi, Y. Ohishi, D. Niizumi, D. Takeuchi, and M. Yasuda, “Audio captioning using pre-trained large-scale language model guided by audio-based similar caption retrieval,”
Original
2020
Later among the works it cites.
X. Xu, H. Dinkel, M. Wu, and K. Yu, “A crnn-gru based reinforcement learning approach to audio captioning,” in
2020
Later among the works it cites.
X. Xu, H. Dinkel, M. Wu, Z. Xie, and K. Yu, “Investigating local and global information for automated audio captioning with transfer learning,” in
2021
Closest in time.

alphaXiv searches the wider corpus for related work and actual follow-ups.

alphaXiv is searching for related work…