Nov 6, 2024 · Abstract: Spoofed noisy speeches seriously threaten the speech-based embedded systems, such as smartphones and intelligent assistants.

1) We propose an anti-spoofing detection method based on activation-based residual blocks for the speech-based authentication embedded systems, which can ...

Detecting Spoofed Noisy Speeches via Activation-Based Residual Blocks for Embedded Systems. Jinyu Zhan, Suidi Peng, Wei Jiang, Xiang Wang, Jiarui Liu.

An anti-spoofing detection model with activation-based residual blocks to identify spoofed noisy speeches with the requirements of high accuracy, ...

Dec 9, 2024 · Different from the conventional methods, this article proposes a segment-based anti-spoofing detection (SASD) method for the quick detection of ...

Oct 22, 2024 · Detecting Spoofed Noisy Speeches via Activation-Based Residual Blocks for Embedded Systems. Article. Nov 2024. Jinyu Zhan · Suidi Peng · Wei ...

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

Sep 18, 2024 · Like RawNet2, it includes an input layer that processes raw waveforms and utilizes convolution-based residual blocks. However, unlike RawNet2, ...

In this survey, we focus on reviewing and analyzing the recent advanced anti-spoofing countermeasures (CMs) targeting TTS and VC attacks across diverse ...

A spoof detection method is essential for identifying spoof attacks in biometric-recognition systems. Studies have primarily investigated methods for detecting ...