Audio signal processing and classification have become increasingly important in various applications, from environmental sound recognition to speech and music analysis. Recent advancements in ...

The Audio and Acoustic Signal Processing section is dedicated to publishing research focused on the theory and practice of signal processing in audio, acoustics, and music processing. Led by Dr.

Load the audio signal x stored in the file p2file1.mat into the Matlab environment, using the load command. You can listen to the signal using the Matlab command soundsc, and by specifying a sampling ...

Steganography can be of many types depending upon the type of data encryption being done. Here, I am using using audio signal processing using MATLAB as the stego application for audio steganography.

Book Abstract: A fully updated second edition of the excellent Digital Audio Signal Processing. Well established in the consumer electronics industry, Digital Audio Signal Processing (DASP) techniques ...

Filtering can improve the clarity and quality of speech and audio signals. Transforming is another important operation in signal processing. It means changing the domain or the representation of a ...

Processing audio signals to extract speech ... Detection or classification of speech or signal-related parameters like reverberation time, signal-to-noise ratio, etc. Topic editor Sebastian Braun is ...

This book serves as a comprehensive guide on audio content analysis and how to apply it in signal processing and music informatics. Written by a well-known expert in the music industry, An ...

The objective of this paper is to provide a high-level process of designing and implementing an Audio Algorithm, specifically written for Soc’s multi-core, low-power audio processing DSP processors.

There are many examples of cloud computing for signal processing in various domains and applications, such as audio, image, video, biomedical, communication, and sensor networks. For instance ...