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Extreme Encoder Output Frame Rate Reduction: Improving Computational
  Latencies of Large End-to-End Models

Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models

27 February 2024
Rohit Prabhavalkar
Zhong Meng
Weiran Wang
Adam Stooke
Xingyu Cai
Yanzhang He
Arun Narayanan
Dongseong Hwang
Tara N. Sainath
Pedro J. Moreno
ArXivPDFHTML

Papers citing "Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models"

4 / 4 papers shown
Title
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
Adam Stooke
Rohit Prabhavalkar
K. Sim
P. M. Mengibar
31
0
0
06 Feb 2025
Text Injection for Neural Contextual Biasing
Text Injection for Neural Contextual Biasing
Zhong Meng
Zelin Wu
Rohit Prabhavalkar
Cal Peyser
Weiran Wang
Nanxin Chen
Tara N. Sainath
Bhuvana Ramabhadran
16
3
0
05 Jun 2024
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
Yu Zhang
Wei Han
James Qin
Yongqiang Wang
Ankur Bapna
...
Pedro J. Moreno
Chung-Cheng Chiu
J. Schalkwyk
Franccoise Beaufays
Yonghui Wu
VLM
77
250
0
02 Mar 2023
Less Is More: Improved RNN-T Decoding Using Limited Label Context and
  Path Merging
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
Rohit Prabhavalkar
Yanzhang He
David Rybach
S. Campbell
A. Narayanan
Trevor Strohman
Tara N. Sainath
41
35
0
12 Dec 2020
1