Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach-Reference-Cited by-同舟云学术

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Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Spoken Language Technology Workshop (SLT)
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Author:

Zhen Kai¹,Radfar Martin¹,Nguyen Hieu¹,Strimel Grant P.¹,Susanj Nathan¹,Mouchtaris Athanasios¹

Affiliation:

1. Amazon Alexa AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022052/10022330/10022821.pdf?arnumber=10022821

Reference34 articles.

1. Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition

2. Quantization Aware Training with Absolute-Cosine Regularization for Automatic Speech Recognition

3. Conformer: Convolution-augmented Transformer for Speech Recognition

4. Squashed Weight Distribution for Low Bit Quantization of Deep Models

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FedAQT: Accurate Quantized Training with Federated Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. PESQ enhancement for decoded speech audio signals using complex convolutional recurrent neural network;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29

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