Digital Technology at the Edge of Capitalism

Abstract

It is sometimes argued that there is hardly a place in the world in the 21st century left untouched by global capitalism [111, 112]. Even so, some places remain at the periphery, participating in this system without being fully absorbed by it. In this article, we take a detailed look at the economic life of such a “pericapitalist” [161] community in the Brazilian Amazon region. We detail how the community increasingly participates in global systems and supply chains, yet also organizes economic life around local and traditional values. We pay special attention to the role of digital technologies in the community, including mobile phones and internet. The contribution of the article is as follows: firstly, it provides a detailed analysis of the material practices of a community at the edge . Secondly, it draws attention to the heterogeneous nature of responses to global capitalism, formed from the relationship between specific material practices, new technology, and elements of cultural identity. Thirdly, it argues for an increased sensibility towards these different relations to capitalism when considering design implications. We argue that close attention to material practice goes some way towards resolving those tensions and, further, provides for an appeal to a more pluralistic views of culture and development [61].

Reference: An algorithm for recognizing the main melody of orchestral music based on artificial intelligence of music melody contour

“…With the development and popularity of computer networks, a large number of music resources can be obtained through network retrieval, and the problem of identifying and locating music has begun to become a difficult problem []- [5]. In this situation, an intelligent recognition system based on music content was born, which is an integrated system to study how to identify and classify music information using digital signal processing techniques []- [10]. Audio information recognition based on music content is achieved using physical, auditory, and semantic features of audio under the premise of accurate sound quality []- [14].…”