The Internet Archive for Electronic Music (IAEM) is intended to be a platform to access an extensive and distributed archive of electronic music. It combines collaborative tools, real time signal processing on the client side and the content of the archive to a powerful teaching, research and publishing tool. The internet Audio Rendering System (iARS) refers to the client browser extension whic...

Music Information Research (MIR) is a discipline that aims to understand and model music from an information processing perspective, but the successful approaches used in MIR are going beyond the traditional data processing methodologies. Most of the great advancements have been the result of combining engineering disciplines such as audio signal processing and machine learning with non-enginee...

This paper addresses CDMA transceiver using direct sequence spread spectrum and includes real time signal processing for scrambling of spread spectrum signal, and descrambling the signal at the receiver using the same pseudo-random code. The simulation of the entire DS-CDMA transceiver system has been implemented using MATLAB, which provides real time audio input to the system.

We describe three technologies involved in creating a digital video library suitable for fullcontent search and retrieval. Image processing analyzes scenes, speech processing transcribes the audio signal, and natural language processing determines word relevance. The integration of these technologies enables us to include vast amounts of video data in the library.

In this paper, we present a modular multi-threaded software framework for real-time adaptive MIMO signal processing. It is planned to release it as an open source project for other developers to collaborate on. Introduction Multichannel audio acquisition and reproduction techniques offer spatial selectivity and diversity as additional degrees of freedom over single-channel systems. In terms of ...

We propose the product-of-filters (PoF) model, a generative model that decomposes audio spectra as sparse linear combinations of “filters” in the log-spectral domain. PoF makes similar assumptions to those used in the classic homomorphic filtering approach to signal processing, but replaces decompositions built of basic signal processing operations with a learned decomposition based on statisti...

one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...

Humans can discriminate speech from music easily in their mind without any influence of the mixed music. Due to the new techniques of analysis and synthesis of speech signals, the musical signal processing has gained particular weight, and therefore, the classical sound analysis techniques are used in processing music signals. Music art has a long and distinguished history. It goes back to the ...

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

The current study examines the temporal parameters associated with cross-modal integration of auditory-visual information for sentential material (Harvard/IEEE sentences). The speech signal was filtered into 1/3-octave channels, all of which were discarded (in the primary experiment) save for a low-frequency (298-375 Hz) and a high-frequency (4762-6000 Hz) band. The intelligibility of this audi...