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This Soundtracks are information rich; knowledge can be extracted and discovered from them. Audio signals may be broadly divided into three classes: speech, music and events. Dedicated recognition algorithms are typically used to extract semantic data for further knowledge discovery. A preprocessor to classify and segment audio into these three classes is essential. Current practice often neglects...
Speaker recognition can be used as a security means to authenticate the speaker or as a forensic tool to determine who is likely to be the talker. For such critical applications, robustness or reliability of the system is crucial. In spite of the development and advancement in the field of speaker recognition, there are still many limitations and challenges. Amongst these, environment factors, in...
Ever increasing volumes of media content and the desire to extract information from media archives motivate the studies into semantic audio information mining. Much research in this filed concerns development of bespoke systems, in which soundtracks are exclusively classified and segmented, and a specific type of sound is recognized and analyzed. This approach however is detrimental to the complete...
Much content related information can be extracted from recorded soundtracks, such as those of multimedia files. The soundtracks might be heuristically classified into three categories namely speech, music and ambient or event sounds. Research in the past focused on algorithms to classify audio clips in an exclusive manner. However, soundtracks from media content are often presented as overlapped mixtures...
Sound reproduced and perceived in different environments, or transmitted via diverse transmission channels shows distinctive acoustic characteristics, sometimes quoted simply as acoustics. Acoustics of an auditorium can be described by the transfer function from the source to the receiver, or the impulse response in the time domain, which can be measured by instrumentation using a number of methods...
Person identification as a security means has a variety of important applications. Many techniques and automated systems have been developed over the past few decades; each has its own advantages and limitations. There are often trade-offs amongst reliability, the ease of use, ethical/human rights issues, and acceptability in a particular application. Multimodal identification and authentication can,...
From an architectural acoustics perspective multi-purpose enclosures in buildings with variable and adaptive acoustics are difficult to achieve. However, such spaces may become more feasible using amplified sound with the aid of signal processing and blind room acoustic parameter estimation techniques. The paper proposes the use of room acoustic parameters extracted from received speech or music to...
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