In addition to being extremely non-linear, modern problems require millions if not billions of parameters solve or at least get a good approximation the solution, and neural networks are known assimilate that complexity by deepening widening their topology in order increase level non-linearity needed for better approximation. However, compact topologies always preferred deeper ones as they offe...

In this paper, multilayer cryptosystems for encrypting audio communications are proposed. These combine signals with other active concealing signals, such as speech by continuously fusing the signal a without silent periods. The goal of these is to prevent unauthorized parties from listening encrypted communications. Preprocessing performed on both and before they combined, necessary get ready ...

In the conventional echo watermarking methods, the robustness of watermarks could be improved by increasing the amplitudes of the echo signals, or as known as the decay rates, but at the expense of sacrificing audio quality. The objective of this work is to achieve a better audio quality and preserve the robustness of watermarks. Along with the proposed analysis-by-synthesis approach, there are...

Here we introduce Aerotak: A system for audio analysis and perception enhancement that allows speech perceivers to listen with their skin. The current system extracts unvoiced portions of an audio signal representative of turbulent air-flow in speech. It stores the audio signal in the left channel of a stereo audio output, and the air flow signal is stored in the right channel. The stored audio...

Automatic Audio Segmentation aims at extracting information about type of audio i.e. silence, clean speech or speech with noise, music etc. The aim of this thesis is to find and extract different features of audio, segment the audio and combine them to form single type of audio. In this work, the audio signal is initially decomposed into non-overlapping frames. Then these frames are decomposed ...