Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency.

T. Sainath, Y. He, B. Li, A. Narayanan, R. Pang, A. Bruguier, S. Chang, W. Li, R. Alvarez, Z. Chen, C. Chiu, D. Garcia, A. Gruenstein, K. Hu, M. Jin, A. Kannan, Q. Liang, I. McGraw, C. Peyser, R. Prabhavalkar, G. Pundak, D. Rybach, Y. Shangguan, Y. Sheth, T. Strohman, M. Visontai, Y. Wu, Y. Zhang, and D. Zhao. CoRR, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Manuel Alvarez

Rodrigo Álvarez

Salvador Alvarez

Alejandro Alvarez

Christian Alvarez

Other publications of authors with the same name

End-to-end Streaming Keyword Spotting.R. Alvarez, and H. Park. ICASSP, page 6336-6340. IEEE, (2019)Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks.R. Prabhavalkar, R. Alvarez, C. Parada, P. Nakkiran, and T. Sainath. ICASSP, page 4704-4708. IEEE, (2015)LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting.H. Yang, Z. Yang, L. Wan, B. Zhang, Y. Shi, Y. Huang, I. Enchev, L. Tang, R. Alvarez, M. Sun and 3 other author(s). CoRR, (2022)On the quantization of recurrent neural networks.J. Li, and R. Alvarez. CoRR, (2021)A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency.T. Sainath, Y. He, B. Li, A. Narayanan, R. Pang, A. Bruguier, S. Chang, W. Li, R. Alvarez, Z. Chen and 18 other author(s). ICASSP, page 6059-6063. IEEE, (2020)Locally-connected and convolutional neural networks for small footprint speaker recognition.Y. hsin Chen, I. López-Moreno, T. Sainath, M. Visontai, R. Alvarez, and C. Parada. INTERSPEECH, page 1136-1140. ISCA, (2015)Compressing deep neural networks using a rank-constrained topology.P. Nakkiran, R. Alvarez, R. Prabhavalkar, and C. Parada. INTERSPEECH, page 1473-1477. ISCA, (2015)Color Image Classification Through Fitting of Implicit Surfaces.R. Álvarez, E. Millán, R. Oropeza, and A. Aceves-López. IBERAMIA, volume 3315 of Lecture Notes in Computer Science, page 677-686. Springer, (2004)Multilevel Seed Region Growth Segmentation.R. Álvarez, E. Millán, and R. Oropeza. MICAI, volume 3789 of Lecture Notes in Computer Science, page 359-368. Springer, (2005)Streaming End-to-end Speech Recognition for Mobile Devices.Y. He, T. Sainath, R. Prabhavalkar, I. McGraw, R. Alvarez, D. Zhao, D. Rybach, A. Kannan, Y. Wu, R. Pang and 10 other author(s). ICASSP, page 6381-6385. IEEE, (2019)

BibSonomy

Disambiguation of "Alvarez, Raziel"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency.

Please choose a person to relate this publication to

Manuel Alvarez

Rodrigo Álvarez

Salvador Alvarez

Alejandro Alvarez

Christian Alvarez

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Alvarez, Raziel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency.

Please choose a person to relate this publication to

Manuel Alvarez

Rodrigo Álvarez

Salvador Alvarez

Alejandro Alvarez

Christian Alvarez

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
MSOffice XML

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency.