Acoustic keyword spotting in speech with applications to data mining

Keyword Spotting is the task of detecting keywords of interest within continu- ous speech. The applications of this technology range from call centre dialogue systems to covert speech surveillance devices. Keyword spotting is particularly well suited to data mining tasks such as real-time keyword monitoring and unre- stricted vocabulary audio document indexing. However, to date, many keyword spotting approaches have su®ered from poor detection rates, high false alarm rates, or slow execution times, thus reducing their commercial viability. This work investigates the application of keyword spotting to data mining tasks. The thesis makes a number of major contributions to the ¯eld of keyword spotting. The ¯rst major contribution is the development of a novel keyword veri¯cation method named Cohort Word Veri¯cation. This method combines high level lin- guistic information with cohort-based veri¯cation techniques to obtain dramatic improvements in veri¯cation performance, in particular for the problematic short duration target word class. The second major contribution is the development of a novel audio document indexing technique named Dynamic Match Lattice Spotting. This technique aug- ments lattice-based audio indexing principles with dynamic sequence matching techniques to provide robustness to erroneous lattice realisations. The resulting algorithm obtains signi¯cant improvement in detection rate over lattice-based audio document indexing while still maintaining extremely fast search speeds. The third major contribution is the study of multiple veri¯er fusion for the task of keyword veri¯cation. The reported experiments demonstrate that substantial improvements in veri¯cation performance can be obtained through the fusion of multiple keyword veri¯ers. The research focuses on combinations of speech background model based veri¯ers and cohort word veri¯ers. The ¯nal major contribution is a comprehensive study of the e®ects of limited training data for keyword spotting. This study is performed with consideration as to how these e®ects impact the immediate development and deployment of speech technologies for non-English languages.

China's Creative Industries : Copyright, Social Network Markets and the Business of Culture in a Digital Age

China’s Creative Industries explores the role of new technologies, globalization and higher levels of connectivity in re-defining relationships between ‘producers’ and ‘consumers’ in 21st century China. The evolution of new business models, the impact of state regulation, the rise of entrepreneurial consumers and the role of intellectual property rights are traced through China’s film, music and fashion industries. The book argues that social network markets, consumer entrepreneurship and business model evolution are driving forces in the production and commercialization of cultural commodities. In doing so it raises important questions about copyright’s role in the business of culture, particularly in a digital age.

The digital economy bill and the UK’s creative industries : a perspective from China

The Digital Economy Bill has been heavily criticized by consumer organizations, internet service providers and technology experts on the grounds that it will reduce the public’s ability to access politically sensitive information, impinge on citizens’ rights to privacy, threaten freedom of expression and have a chilling effect on digital innovation. Its passage in spite of these criticisms reflects, among other things, the power of the rhetoric that has been employed by its proponents. This paper examines economic arguments surrounding the digital economy debate in light of lessons from one of the world's fastest growing economies: China.

Beyond statistical procedures for predictive modelling: Data mining algorithms and support for university research at QUT

In a seminal data mining article, Leo Breiman [1] argued that to develop effective predictive classification and regression models, we need to move away from the sole dependency on statistical algorithms and embrace a wider toolkit of modeling algorithms that include data mining procedures. Nevertheless, many researchers still rely solely on statistical procedures when undertaking data modeling tasks; the sole reliance on these procedures has lead to the development of irrelevant theory and questionable research conclusions ([1], p.199). We will outline initiatives that the HPC & Research Support group is undertaking to engage researchers with data mining tools and techniques; including a new range of seminars, workshops, and one-on-one consultations covering data mining algorithms, the relationship between data mining and the research cycle, and limitations and problems with these new algorithms. Organisational limitations and restrictions to these initiatives are also discussed.

Creative, culture tourism and place-making : Istanbul and London film industries

During the last decade many cities have sought to promote creativity by encouraging creative industries as drivers for economic and spatial growth. Among the creative industries, film industry play an important role in establishing high level of success in economic and spatial development of cities by fostering endogenous creativeness, attracting exogenous talent, and contributing to the formation of places that creative cities require. The paper aims to scrutinize the role of creative industries in general and the film industry in particular for place making, spatial development, tourism, and the formation of creative cities, their clustering and locational decisions. This paper investigates the positive effects of the film industry on tourism such as incubating creativity potential, increasing place recognition through locations of movies filmed and film festivals hosted, attracting visitors and establishing interaction among visitors, places and their cultures. This paper reveals the preliminary findings of two case studies from Beyoglu, Istanbul and Soho, London, examines the relation between creativity, tourism, culture and the film industry, and discusses their effects on place-making and tourism.

The Guardian Reportage of the UK MP Expenses Scandal: a Case Study of Computational Journalism

The Guardian reportage of the United Kingdom Member of Parliament (MP) expenses scandal of 2009 used crowdsourcing and computational journalism techniques. Computational journalism can be broadly defined as the application of computer science techniques to the activities of journalism. Its foundation lies in computer assisted reporting techniques and its importance is increasing due to the: (a) increasing availability of large scale government datasets for scrutiny; (b) declining cost, increasing power and ease of use of data mining and filtering software; and Web 2.0; and (c) explosion of online public engagement and opinion.. This paper provides a case study of the Guardian MP expenses scandal reportage and reveals some key challenges and opportunities for digital journalism. It finds journalists may increasingly take an active role in understanding, interpreting, verifying and reporting clues or conclusions that arise from the interrogations of datasets (computational journalism). Secondly a distinction should be made between information reportage and computational journalism in the digital realm, just as a distinction might be made between citizen reporting and citizen journalism. Thirdly, an opportunity exists for online news providers to take a ‘curatorial’ role, selecting and making easily available the best data sources for readers to use (information reportage). These activities have always been fundamental to journalism, however the way in which they are undertaken may change. Findings from this paper may suggest opportunities and challenges for the implementation of computational journalism techniques in practice by digital Australian media providers, and further areas of research.

Skills for creative industries graduate success

Purpose: Although there is increasing evidence that the creative industries are essential to national economic growth as well as social and cultural well-being, creative graduates often find it difficult to become established professionally. This study investigates the value of career management competence and intrinsic career motivations (as elements of ‘protean career orientation’) in predicting positive graduate outcomes. ----- ----- Design/methodology: Self-report surveys were administered to 208 creative industries graduates from two Australian universities at two points in time: at course completion, and one year later. ----- ----- Findings: Individual career management competence and intrinsic work motivations, measured at course completion, were significant predictors of early career success, using both subjective and objective measures, measured one year later. ----- ----- Practical implications: This study suggests that an emphasis on student development beyond the traditional ‘key’ employability skills may well be worthwhile. The article also suggests a broad learning and teaching approach by which universities can encourage the development of student career identity, and thus engender student intrinsic career motivations and career self management skills and behaviours. ----- ----- Originality/value: This is one of the first studies to demonstrate empirically a link between a particular set of skills and graduate outcomes. In addition, it provides insights into the role of student career motivations in positive transitions to the world of work in the creative industries.

Transnational business masculinities : media representations of gender and management in global mining corporations

This paper examines Australian media representations of the male managers of two global mining corporations, Rio Tinto and BHP Billiton. These organizations are transnational (or multinational) corporations with assets and/or operations across national boundaries (Dunning and Lundan, 2008), and indeed their respective Chief Executive Officers, Tom Albanese and Marius Kloppers are two of the most economically (and arguably politically) powerful in the world overseeing 37 000 and 39 000 employees internationally. With a 2008 profit of US$15.962 billion and assets of US$ 75.889 Billion BHP Billiton is the world's largest mining company. In terms of its profits and assets Rio Tinto ranks fourth in the world, but with operations in six countries (mainly Canada and Australia) and a 2008 profit of US$10.3 billion it is also emblematic of the transnational in that its ‘budget is larger than that of all but a few nations’ (Giddens, 2003, p. 62).

Entertainment industries at university : designing a curriculum

Universities have not traditionally trained students to work as producers in the entertainment industries. This key entertainment role involves balancing creativity, business and legal skills in order to generate and run entertainment projects. Queensland University of Technology has recently introduced a program to train students for these jobs. The program is interdisciplinary, drawing on expertise from the Creative Industries, Law and Business faculties. This Scholarship of Teaching and Learning (SOTL) article details the course learning outcomes developed from extensive industry and academic consultation, and addresses some of the difficulties involved in developing such an interdisciplinary teaching program.

A Two-stage information filtering based on rough decision rule and pattern mining

Information Overload and Mismatch are two fundamental problems affecting the effectiveness of information filtering systems. Even though both term-based and patternbased approaches have been proposed to address the problems of overload and mismatch, neither of these approaches alone can provide a satisfactory solution to address these problems. This paper presents a novel two-stage information filtering model which combines the merits of term-based and pattern-based approaches to effectively filter sheer volume of information. In particular, the first filtering stage is supported by a novel rough analysis model which efficiently removes a large number of irrelevant documents, thereby addressing the overload problem. The second filtering stage is empowered by a semantically rich pattern taxonomy mining model which effectively fetches incoming documents according to the specific information needs of a user, thereby addressing the mismatch problem. The experimental results based on the RCV1 corpus show that the proposed twostage filtering model significantly outperforms the both termbased and pattern-based information filtering models.

The Guardian reportage of the UK MP expenses scandal: a case study of computational journalism

The Guardian reportage of the United Kingdom Member of Parliament (MP) expenses scandal of 2009 used crowdsourcing and computational journalism techniques. Computational journalism can be broadly defined as the application of computer science techniques to the activities of journalism. Its foundation lies in computer assisted reporting techniques and its importance is increasing due to the: (a) increasing availability of large scale government datasets for scrutiny; (b) declining cost, increasing power and ease of use of data mining and filtering software; and Web 2.0; and (c) explosion of online public engagement and opinion.. This paper provides a case study of the Guardian MP expenses scandal reportage and reveals some key challenges and opportunities for digital journalism. It finds journalists may increasingly take an active role in understanding, interpreting, verifying and reporting clues or conclusions that arise from the interrogations of datasets (computational journalism). Secondly a distinction should be made between information reportage and computational journalism in the digital realm, just as a distinction might be made between citizen reporting and citizen journalism. Thirdly, an opportunity exists for online news providers to take a ‘curatorial’ role, selecting and making easily available the best data sources for readers to use (information reportage). These activities have always been fundamental to journalism, however the way in which they are undertaken may change. Findings from this paper may suggest opportunities and challenges for the implementation of computational journalism techniques in practice by digital Australian media providers, and further areas of research.

Creative industries after the first decade of debate

It has now been over a decade since the concept of creative industries was first put into the public domain through the Creative Industries Mapping Documents developed by the Blair Labour government in Britain. The concept has developed traction globally, but it has also been understood and developed in different ways in Europe, Asia, Australia, New Zealand and North America, as well as through international bodies such as UNCTAD and UNESCO. A review of the policy literature reveals that while questions and issues remain around definitional coherence, there is some degree of consensus emerging about the size, scope and significance of the sectors in question in both advanced and developing economies. At the same time, debate about the concept remains highly animated in media, communication and cultural studies, with its critics dismissing the concept outright as a harbinger of neo-liberal ideology in the cultural sphere. This paper couches such critiques in light of recent debates surrounding the intellectual coherence of the concept of neo-liberalism, arguing that this term itself possesses problems when taken outside of the Anglo-American context in which it originated. It is argued that issues surrounding the nature of participatory media culture, the relationship between cultural production and economic innovation, and the future role of public cultural institutions can be developed from within a creative industries framework, and that writing off such arguments as a priori ideological and flawed does little to advance debates about 21st century information and media culture.

Toward a cultural economic geography of creative industries and urban development : introduction to the special issue on creative industries and urban development

The connections between the development of creative industries and the growth of cities was noted by several sources over the 2000s, but explanations relating to the nature of the link have thus far provide to be insufficient. The two dominant ‘scripts’ were those of ‘creative clusters’ and ‘creative/cities/creative class’ theories, but both have proved to be insufficient, not least because they privilege amenities-led, supply-drive accounts of urban development that fail to adequately situate cities in wider global circuits of culture and economic production. It is proposed that the emergent field of cultural economic geography provides some insights into redressing these lacunae, particularly in the possibilities for an original synthesis of cultural and economic geography, cultural studies and new strands of economic theory.

Creative Commons and the creative industries

This paper explores the growing significance of legal questions to innovation and creative practice in what are now being termed the creative industries. Noting that the case for strong copyright protection as the cornerstone of innovation is highly contested, it explores the significance of Creative Commons licences as an alternative to Digital Rights Management and copyright law. It also introduces the case studies of music, online computer games, and ‘remix culture’ that are covered in this special issue of Media and Arts Law Review.