Audio compression is designed to reduce the transmission bandwidth requirement of digital audio streams and storage size of audio files. Audio compression has become one of the basic technologies of the multimedia age to achieve transparent coding of audio and speech signals at the lowest possible data rates. This paper presents a comparative analysis of audio signal compression using transform...

In this paper, we present the study of audio signal denoising, recognizing its audio type and retrieving similar signals from the database. Primarily the signal is denoised to remove any noise present in the unknown signal. Time Frequency Block Thresholding is used to achieve this. Removing the noise from audio signals requires processing of time-frequency coefficients in order to keep away fro...

The paper deals with design and performance analysis of algorithms that utilize parallel signal-processing methods and SIMD technology for multiply-and-add algorithm for digital audio signal processing. This algorithm is used for summing the gained input signals on output buses in applications for distributing, mixing, effect-processing, and switching multi-format digital audio signal in an aud...

Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...

For very low bit rate audio coding applications in mobile communications or on the internet, parametric audio coding has evolved as a technique complementing the more traditional approaches. These are transform codecs originally designed for achieving CDlike quality on one hand, and specialized speech codecs on the other hand. Both of these techniques usually represent the audio signal waveform...

This paper investigates digital data hiding schemes. The concept of information hiding will be explained at first, and its traits, requirements, and applications will be described subsequently. In order to design a digital data hiding system, one should first become familiar with the concepts and criteria of information hiding. Having knowledge about the host signal, which may be audio, image, ...

In this paper presents an algorithm for extraction of audio rhythm of a digital signal. The rhythm is formed by changes of intensity in the audio data signal. The rhythm marks significant changes in the acoustic signals. Through a procedure of filtering for extraction the envelope of the audio signal, then through a square signal marked the start point and duration of changes on the envelope. T...

AbstractIn this research paper a new audio watermarking scheme is proposed using Arnold transformation with DCT-DWT. In audio watermarking embedding firstly, the audio convert signal was divided evenly, the audio segments were selected from the divided audio, then by doing the DWT and DCT embedded the watermark to the low frequency coefficients of those audio segments which were selected. Water...