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Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization.

Y. Takashima, Y. Fujita, S. Horiguchi, S. Watanabe, P. García, and K. Nagamatsu. CoRR, (2021)

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Akira Takashima

Makoto Takashima

Yuki Norizoe

Yuki Sugimoto

Hanna Yuki Büchele

Other publications of authors with the same name

Parallel-Data-Free Dictionary Learning for Voice Conversion Using Non-Negative Tucker Decomposition.Y. Takashima, H. Yano, T. Nakashika, T. Takiguchi, and Y. Ariki. ICASSP, page 5294-5298. IEEE, (2018)A Study on Bilingual Superimposed Display Method on Digital Signage.T. Uotani, Y. Sakamoto, Y. Takashima, T. Kurushima, K. Ueda, H. Ishii, H. Shimoda, R. Mochizuki, and M. Watanabe. HCI (15), volume 12195 of Lecture Notes in Computer Science, page 431-443. Springer, (2020)Semi-Supervised Training with Pseudo-Labeling for End-To-End Neural Diarization.Y. Takashima, Y. Fujita, S. Horiguchi, S. Watanabe, L. García-Perera, and K. Nagamatsu. Interspeech, page 3096-3100. ISCA, (2021)Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models.Y. Takashima, S. Horiguchi, S. Watanabe, L. García-Perera, and Y. Kawaguchi. INTERSPEECH, page 2218-2222. ISCA, (2022)Audio-Visual Speech Recognition Using Bimodal-Trained Bottleneck Features for a Person with Severe Hearing Loss.Y. Takashima, R. Aihara, T. Takiguchi, Y. Ariki, N. Mitani, K. Omori, and K. Nakazono. INTERSPEECH, page 277-281. ISCA, (2016)Mutual Learning of Single- and Multi-Channel End-to-End Neural Diarization.S. Horiguchi, Y. Takashima, S. Watanabe, and P. García. SLT, page 620-625. IEEE, (2022)Dysarthric Speech Recognition Based on Deep Metric Learning.Y. Takashima, R. Takashima, T. Takiguchi, and Y. Ariki. INTERSPEECH, page 4796-4800. ISCA, (2020)Lip reading using a dynamic feature of lip images and convolutional neural networks.Y. Li, Y. Takashima, T. Takiguchi, and Y. Ariki. ICIS, page 1-6. IEEE Computer Society, (2016)Feature extraction using pre-trained convolutive bottleneck nets for dysarthric speech recognition.Y. Takashima, T. Nakashika, T. Takiguchi, and Y. Ariki. EUSIPCO, page 1411-1415. IEEE, (2015)Audio-Visual Speech Recognition Using Convolutive Bottleneck Networks for a Person with Severe Hearing Loss.Y. Takashima, Y. Kakihara, R. Aihara, T. Takiguchi, Y. Ariki, N. Mitani, K. Omori, and K. Nakazono. IPSJ Trans. Comput. Vis. Appl., (2015)

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Disambiguation of "Takashima, Yuki"

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Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization.

Please choose a person to relate this publication to

Akira Takashima

Makoto Takashima

Yuki Norizoe

Yuki Sugimoto

Hanna Yuki Büchele

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Takashima, Yuki"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization.

Please choose a person to relate this publication to

Akira Takashima

Makoto Takashima

Yuki Norizoe

Yuki Sugimoto

Hanna Yuki Büchele

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Semi-Supervised Training with Pseudo-Labeling for End-to-End Neural Diarization.