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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
quantization levels
Published:
How do you determine the appropriate quantization precision levels for your Large language models?
Fake Model Quantization
Published:
Fake Model Quantization Doesn’t Make Any Difference in Accelerating Model Inference Time
portfolio
Portfolio item number 1
Published:
Short description of portfolio item number 1
Portfolio item number 2
Published:
Short description of portfolio item number 2
publications
The preliminary study of robust speech feature extraction based on maximizing the probability of states in deep acoustic models
Published in Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020), 2020
Received the Best Paper Nomination ROCLING 2020
Recommended citation: Li-chia Chang and Jeih-weih Hung. 2020. The preliminary study of robust speech feature extraction based on maximizing the accuracy of states in deep acoustic models. In Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020), pages 118–119, Taipei, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
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The preliminary study of robust speech feature extraction based on maximizing the probability of states in deep acoustic models
Published in Appl. Syst. Innov. Volume 5, Issue 4, 2022
This study proposes a novel robust speech feature extraction technique to improve speech recognition performance in noisy environments. This novel method exploits the information provided by the original acoustic model in the automatic speech recognition (ASR) system to learn a deep neural network that converts the original speech features.
Recommended citation: Chang, L.-C.; Hung, J.-W. A Preliminary Study of Robust Speech Feature Extraction Based on Maximizing the Probability of States in Deep Acoustic Models. Appl. Syst. Innov. 2022, 5, 71.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.