Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets-Reference-Cited by-同舟云学术

Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets

Published:2022 Issue: Volume: Page:364-376
ISSN:0302-9743
Container-title:Text, Speech, and Dialogue
language:
Short-container-title:

Author:

Zeng Lu^ORCID,Parthasarathi Sree Hari Krishnan^ORCID,Liu Yuzong^ORCID,Escott Alex^ORCID,Cheekatmalla Santosh^ORCID,Strom Nikko^ORCID,Vitaladevuni Shiv^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16270-1_30

Reference26 articles.

1. Agarap, A.F.: Deep learning using rectified linear units (ReLU). arXiv preprint arXiv:1803.08375 (2018)

2. Banner, R., Hubara, I., Hoffer, E., Soudry, D.: Scalable methods for 8-bit training of neural networks. In: Advances in Neural Information Processing Systems, vol. 31 (2018)

3. Bengio, Y., Léonard, N., Courville, A.: Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 (2013)

4. Blouw, P., Malik, G., Morcos, B., Voelker, A.R., Eliasmith, C.: Hardware aware training for efficient keyword spotting on general purpose and specialized hardware. arXiv preprint arXiv:2009.04465 (2020)

5. Chen, G., Parada, C., Heigold, G.: Small-footprint keyword spotting using deep neural networks. In: Proceedings of ICASSP (2014)

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. On-Device Constrained Self-Supervised Learning for Keyword Spotting via Quantization Aware Pre-Training and Fine-Tuning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Fixed-Point Quantization Aware Training for on-Device Keyword-Spotting;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04