Determining the best Acoustic Features for Smoker Identification

Author:

Ma Zhizhong1,Qiu Yuanhang1,Hou Feng1,Wang Ruili1,Wai Chu Joanna Ting2,Bullen Christopher2

Affiliation:

1. Massey University,School of Mathematical and Computational Sciences,Auckland,New Zealand

2. National Institute for Health Innovation, University of Auckland,Auckland,New Zealand

Publisher

IEEE

Cited by 5 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. Machine Learning Algorithms for Human Smoking Behavior Detection using speech;2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18

2. Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

3. Speech Recognition for Air Traffic Control via Feature Learning and End-to-End Training;IEICE Transactions on Information and Systems;2023-04-01

4. MobileACNet: ACNet-Based Lightweight Model for Image Classification;Image and Vision Computing;2023

5. CyclicAugment: Speech Data Random Augmentation with Cosine Annealing Scheduler for Auotmatic Speech Recognition;Interspeech 2022;2022-09-18

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