Recent advancements in deep learning (DL) have posed a significant challenge for
automatic speech recognition (ASR). ASR relies on extensive training datasets, including …

Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …

The popular embedded watermarking method in transform domains such as DWT, LWT,
DCT, and SVD achieves copyright protection of audio signals by embedding watermarks …

In the age of data science and connected IoT devices of all kinds, users have gained a lot of
convenience. However, the massive data generated from the communication networks …

Transform-domain audio watermarking systems are more robust than time-domain systems.
However, the main weakness of these systems is their high computational cost, especially …

To provide robust security measures for audio data during transmission, this article has
developed a novel dual-channel audio encryption scheme based on chaos theory …

Watermarking is broadly utilized to protect ownership of shared data while preserving data
utility. However, existing watermarking methods for tabular datasets fall short on the desired …

This paper proposes a novel Octonion Krawtchouk Moments (OKMs) transform to deal with a
set of images in a compact manner, and based on this transform, a local zero-watermarking …

Coronary heart disease is a major cause of fatality worldwide. Online access to a patient's
ECG record on networked hand-held devices enables its timely assessment by a …

In today's rapidly evolving digital landscape, safeguarding the secure transmission of
sensitive information is paramount. Traditional steganography methods, while effective at …