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Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.

Y. Shi, Y. Wang, C. Wu, C. Yeh, J. Chan, F. Zhang, D. Le, and M. Seltzer. ICASSP, page 6783-6787. IEEE, (2021)

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Helmut Seltzer

Bernd Miketta

Anna Mikecz

Helmut Mikelskis

Heinz Miketta

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Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network.J. Xue, J. Li, D. Yu, M. Seltzer, and Y. Gong. ICASSP, page 6359-6363. IEEE, (2014)A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition.A. Jansen, E. Dupoux, S. Goldwater, M. Johnson, S. Khudanpur, K. Church, N. Feldman, H. Hermansky, F. Metze, R. Rose and 17 other author(s). ICASSP, page 8111-8115. IEEE, (2013)Prompting Large Language Models with Speech Recognition Abilities.Y. Fathullah, C. Wu, E. Lakomkin, J. Jia, Y. Shangguan, K. Li, J. Guo, W. Xiong, J. Mahadeokar, O. Kalinli and 2 other author(s). ICASSP, page 13351-13355. IEEE, (2024)TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models.Y. Shangguan, H. Yang, D. Li, C. Wu, Y. Fathullah, D. Wang, A. Dalmia, R. Krishnamoorthi, O. Kalinli, J. Jia and 4 other author(s). ICASSP, page 10216-10220. IEEE, (2024)AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs.Y. Fathullah, C. Wu, E. Lakomkin, K. Li, J. Jia, Y. Shangguan, J. Mahadeokar, O. Kalinli, C. Fuegen, and M. Seltzer. NAACL-HLT, page 5522-5532. Association for Computational Linguistics, (2024)Dynamic Speech Endpoint Detection with Regression Targets.D. Liang, H. Su, T. Singh, J. Mahadeokar, S. Puri, J. Zhu, E. Thomaz, and M. Seltzer. ICASSP, page 1-5. IEEE, (2023)Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.Y. Shi, Y. Wang, C. Wu, C. Yeh, J. Chan, F. Zhang, D. Le, and M. Seltzer. ICASSP, page 6783-6787. IEEE, (2021)Phone sequence modeling with recurrent neural networks.N. Boulanger-Lewandowski, J. Droppo, M. Seltzer, and D. Yu. ICASSP, page 5417-5421. IEEE, (2014)Multi-Head State Space Model for Speech Recognition.Y. Fathullah, C. Wu, Y. Shangguan, J. Jia, W. Xiong, J. Mahadeokar, C. Liu, Y. Shi, O. Kalinli, M. Seltzer and 1 other author(s). INTERSPEECH, page 241-245. ISCA, (2023)Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution.Y. Shi, C. Wu, D. Wang, A. Xiao, J. Mahadeokar, X. Zhang, C. Liu, K. Li, Y. Shangguan, V. Nagaraja and 2 other author(s). ICASSP, page 8277-8281. IEEE, (2022)

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Disambiguation of "Seltzer, Mike"

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Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.

Please choose a person to relate this publication to

Helmut Seltzer

Bernd Miketta

Anna Mikecz

Helmut Mikelskis

Heinz Miketta

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Seltzer, Mike"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.

Please choose a person to relate this publication to

Helmut Seltzer

Bernd Miketta

Anna Mikecz

Helmut Mikelskis

Heinz Miketta

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition.