How the Introduction of Streaming Has Changed the Financial Focal Points of the Music Industry

For this thesis, the gathered research will demonstrate how the introduction of music streaming has made a monumental impact on the music industry and the financial effect it has had on various aspects of the creation and distribution of recorded music. The areas of research will range from the music labels in charge of producing and providing the music to the streaming services in charge of distributing the music. Focus will be on how music streaming developed in the late 1990s and took the music media world by storm, devaluing and diluting the power of the physical music industry in the process. This thesis will also provide evidence of how the shift to music streaming has fractured the financial stability that an artist previously had in pursuing music as a full-time career, as well as the current legal troubles associated with creating and maintaining value in the digitalized industry

Segregating Event Streams and Noise with a Markov Renewal Process Model

DS and MP are supported by EPSRC Leadership Fellowship EP/G007144/1

Multimodal language processing in human communication

Multiple layers of visual (and vocal) signals, plus their different onsets and offsets, represent a significant semantic and temporal binding problem during face-to-face conversation. Despite this complex unification process, multimodal messages appear to be processed faster than unimodal messages. Multimodal gestalt recognition and multilevel prediction are proposed to play a crucial role in facilitating multimodal language processing. The basis of the processing mechanisms involved in multimodal language comprehension is hypothesized to be domain general, coopted for communication, and refined with domain-specific characteristics. A new, situated framework for understanding human language processing is called for that takes into consideration the multilayered, multimodal nature of language and its production and comprehension in conversational interaction requiring fast processing

Environmental performance outcomes and indicators for indigenous peoples: Review of literature

The literature review in this report was the starting point for developing a Māori research strand (2003-2009) within the Planning Under Co-operative Mandates (PUCM) research programme (1995-2009). An early task of the PUCM Māori team was to review the international literature on environmental outcomes and indicators for indigenous peoples. This was in order to gain an understanding of what had been written on the subject and to become familiar with approaches taken by others that might provide lessons for the development of our proposed kaupapa Māori outcomes and indicators framework and methodology, which was aimed at local government performance in Aotearoa/New Zealand. This current report is not intended to provide an exhaustive catalogue of writings on environmental performance outcomes and indicators for indigenous peoples, including Māori. Rather, some of the more obvious and important writings are noted as a ready reference for others interested in this topic. Before detailing the approach we took in carrying out the review, the key terms, outcomes and indicators, are defined

A semantics-based approach to sensor data segmentation in real-time Activity Recognition

Department of Information Engineering, Dalian University, China The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Activity Recognition (AR) is key in context-aware assistive living systems. One challenge in AR is the segmentation of observed sensor events when interleaved or concurrent activities of daily living (ADLs) are performed. Several studies have proposed methods of separating and organising sensor observations and recognise generic ADLs performed in a simple or composite manner. However, little has been explored in semantically distinguishing individual sensor events directly and passing it to the relevant ongoing/new atomic activities. This paper proposes Semiotic theory inspired ontological model, capturing generic knowledge and inhabitant-specific preferences for conducting ADLs to support the segmentation process. A multithreaded decision algorithm and system prototype were developed and evaluated against 30 use case scenarios where each event was simulated at 10sec interval on a machine with i7 2.60GHz CPU, 2 cores and 8GB RAM. The result suggests that all sensor events were adequately segmented with 100% accuracy for single ADL scenarios and minor improvement of 97.8% accuracy for composite ADL scenario. However, the performance has suffered to segment each event with the average classification time of 3971ms and 62183ms for single and composite ADL scenarios, respectively

Outburst Research

The two books published by Dr. Ripu Lama (1995) and Dr. Lama and Dr. Jakob Bodziony (1996) are outstanding collections of literature, observations and original work in the field of gas outburst research and management. They provide a very solid base for further effort and developments; but they also serve to indicate that the problem is one of extreme complexity for which no ‘silver bullet’ solution is likely to be found. Since 1996, research has continued in several locations in Australia and overseas, generally stimulated by outburst events, or the perceived risk of occurrence in new areas or as mines go deeper. This short presentation includes a bibliography of various publications in the recent outburst research literature (Appendix 1). These publications indicate that some good progress has recently been made both in Australia and elsewhere in developing a better understanding of outburst mechanisms, and in the author’s own experience, in developing quantitative models of those mechanisms. It is hoped that the bibliography provides a reasonably up-to- date introduction for the enquiring reader. It does not cover gas drainage, alleviation and outburst management. More comprehensive information can be found in the reference lists of the catalogued papers, for example in the ACARP report by Wold and Choi (1999) which contains a detailed assessment of research on modelling of outburst mechanisms. The main body of this presentation comprises an overview of a research project that CSIRO Petroleum has recently commenced with support by ACARP. The project represents an attempt to provide a practical advance for the assessment of safe mining criteria for outburst prone conditions

Speaker segmentation and clustering

This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in an audio stream, whereas speaker clustering aims at grouping speech segments based on speaker characteristics. Model-based, metric-based, and hybrid speaker segmentation algorithms are reviewed. Concerning speaker clustering, deterministic and probabilistic algorithms are examined. A comparative assessment of the reviewed algorithms is undertaken, the algorithm advantages and disadvantages are indicated, insight to the algorithms is offered, and deductions as well as recommendations are given. Rich transcription and movie analysis are candidate applications that benefit from combined speaker segmentation and clustering. © 2007 Elsevier B.V. All rights reserved