Sliding Analysis Window Log Attack Time Temporal Centroid Spectral Centroid Spectral Deviation Spectral Spread Spectral Variation
نویسندگان
چکیده
Content description has become a topic of interest for many researchers in the audiovisual field [1][2]. While manual annotation has been used for many years in different applications, the focus now is on finding automatic contentextraction and content-navigation tools. An increasing number of projects, in some of which we are actively involved, focus on the extraction of meaningful features from an audio signal. Meanwhile, standards like MPEG7 [3] are trying to find a convenient way of describing audiovisual content. Nevertheless, content description is usually thought of as an additional information stream attached to the ‘actual content’ and the only envisioned scenario is that of a search and retrieval framework. However, in this article it will be argued that if there is a suitable content description, the actual content itself may no longer be needed and we can concentrate on transmitting only its description. Thus, the receiver should be able to interpret the information that, in the form of metadata, is available at its inputs, and synthesize new content relying only on this description. It is possibly in the music field where this last step has been further developed, and that fact allows us to think of such a transmission scheme being available on the near future.
منابع مشابه
Musical Timbre and Emotion: The Identification of Salient Timbral Features in Sustained Musical Instrument Tones Equalized in Attack Time and Spectral Centroid
Timbre and emotion are two of the most important aspects of musical sounds. Both are complex and multidimensional, and strongly interrelated. Previous research has identified many different timbral attributes, and shown that spectral centroid and attack time are the two most important dimensions of timbre. However, a consensus has not emerged about other dimensions. This study will attempt to i...
متن کاملAddressing the Same but different - different but similar problem in automatic music classification
We present a hybrid method in which we classify music from a raw audio signal according to their spectral features, while maintaining the ability to assess similarities between any two pieces in the set of analyzed works. First we segment the audio file into discrete windows and create a vector of triplets respectively describing the spectral centroid, the short-time energy function, and the sh...
متن کاملAssessment of Geothermal Potential of Parts of Middle Benue Trough, North-East Nigeria
This research deals with assessment of geothermal potential in parts of middle Benue Trough, north-east of Nigeria. The study area lies within the Longitude 9°E – 10°E and Latitude 8°N – 9.50°N with an estimated total area of 18,150 km2. Regional/Residual separation was performed on the total magnetic intensity using polynomial fitting. The residual map was divided into 14 overlappin...
متن کاملPii: S0301-5629(00)00316-1
Spectral estimation of tissue strain has been performed previously by using the centroid shift of the power spectrum or by estimating the variation in the mean scatterer spacing in the spectral domain. The centroid shift method illustrates the robustness of the direct, incoherent strain estimator. In this paper, we present a strain estimator that uses spectral cross-correlation of the preand po...
متن کاملEmotional Predisposition of Musical Instrument Timbres with Static Spectra
Music is one of the strongest triggers of emotions. Recent studies have shown strong emotional predispositions for musical instrument timbres. They have also shown significant correlations between spectral centroid and many emotions. Our recent study on spectral centroid-equalized tones further suggested that the even/odd harmonic ratio is a salient timbral feature after attack time and brightn...
متن کامل