Detecting Spoofed Speeches via Segment-Based Word CQCC and Average ZCR for Embedded Systems.

MLA

Zhan, Jinyu, et al. “Detecting Spoofed Speeches via Segment-Based Word CQCC and Average ZCR for Embedded Systems.” IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems, vol. 41, no. 11, Nov. 2022, pp. 3862–73. EBSCOhost, https://doi.org/10.1109/TCAD.2022.3197531.

APA

Zhan, J., Pu, Z., Jiang, W., Wu, J., & Yang, Y. (2022). Detecting Spoofed Speeches via Segment-Based Word CQCC and Average ZCR for Embedded Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems, 41(11), 3862–3873. https://doi.org/10.1109/TCAD.2022.3197531

Chicago

Zhan, Jinyu, Zhibei Pu, Wei Jiang, Junting Wu, and Yongjia Yang. 2022. “Detecting Spoofed Speeches via Segment-Based Word CQCC and Average ZCR for Embedded Systems.” IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems 41 (11): 3862–73. doi:10.1109/TCAD.2022.3197531.