Adam Brickman EE381K Multidimensional Signal Processing March 24, 2003 Abstract Watermarking audio files has recently become the focus of much attention. This is primarily due to faster data transmission rates on the Internet, which has allowed the often illegal proliferation of digital audio files. Watermarking may give recording companies the ability to enforce copyright protection of their p...

Audio adversarial examples targeting automatic speech recognition systems have recently been made possible in different tasks, such as speech-to-text translation and speech classification. Here we aim to explore the robustness of these audio adversarial examples generated via two attack strategies by applying different signal processing methods to recover the original audio sequence. In additio...

The paper presents a novel method of structure for designing and implementation of hardware reduced FIR filter in mixed signal processing domain for parallel data processing. Supported by a review of the literature, the paper demonstrates that the proposed methodology is superior, economical and can be applied in to applications like biomedical and audio signals. The results show improved perfo...

We discuss a programming language for real-time audio signal processing that is embedded in the functional language Haskell and uses the Low-Level Virtual Machine as back-end. With that framework we can code with the comfort and type safety of Haskell while achieving maximum efficiency of fast inner loops and full vectorisation. This way Haskell becomes a valuable alternative to special purpose...

Digital filters find wide variety of applications in modern digital signal processing systems [1, 2]. As a result of the recent progress in such systems, there is an ever growing demand for sharp transition band digital filters. These narrow transition bandwidth digital filters are usually designed by using the frequency response masking (FRM) approach [3]. The computational efficiency of the F...

Samuel Kim, Panayiotis Georgiou and Shrikanth Narayanan APSIPA Transactions on Signal and Information Processing / Volume 1 / December 2012 / e6 DOI: 10.1017/ATSIP.2012.7, Published online: 10 December 2012 Link to this article: http://journals.cambridge.org/abstract_S2048770312000078 How to cite this article: Samuel Kim, Panayiotis Georgiou and Shrikanth Narayanan (2012). Latent acoustic topic...

This paper proposes a simple and automated referee whistle sound detection (RWSD) for sports highlights extraction and video summarization. The proposed method is based on preprocessor, linear phase bandpass finite impulse response (FIR) filter shorttime energy estimator and decision logic. At the processing stage the discrete audio sequence is divided into non-overlapping blocks and then ampli...

Multi-rate digital signal processing techniques have been developed in recent years for a wide range of applications, such as speech and image compression, statistical and adaptive signal processing and digital audio. Multi-rate statistical and adaptive signal processing methods provide solution to original signal reconstruction, using observation signals sampled at different rates. In this stu...

The proliferation and easy access to a new breed of ARMbased single-board computers has promoted an increased usage of these platforms in the creation of self-contained Digital Music Instruments. These directly incorporate all of the necessary processing power for tasks such as sensor signal acquisition, control data processing and audio synthesis. They can also run full Linux operating systems...