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Accelerating Inference and Language Model Fusion of Recurrent Neural
  Network Transducers via End-to-End 4-bit Quantization

Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization

16 June 2022
A. Fasoli
Chia-Yu Chen
Mauricio Serrano
Swagath Venkataramani
G. Saon
Xiaodong Cui
Brian Kingsbury
K. Gopalakrishnan
    MQ
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Papers citing "Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization"

2 / 2 papers shown
Title
Alignment-Free Training for Transducer-based Multi-Talker ASR
Alignment-Free Training for Transducer-based Multi-Talker ASR
Takafumi Moriya
Shota Horiguchi
Marc Delcroix
Ryo Masumura
Takanori Ashihara
Hiroshi Sato
Kohei Matsuura
Masato Mimura
31
1
0
30 Sep 2024
A Model for Every User and Budget: Label-Free and Personalized
  Mixed-Precision Quantization
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization
Edward Fish
Umberto Michieli
Mete Ozay
MQ
22
4
0
24 Jul 2023
1