Modeling musicological information as trigrams in a system for simultaneous chord and local key extraction

In this paper, we discuss the introduction of a trigram musicological model in a simultaneous chord and local key extraction system. By enlarging the context of the musicological model, we hoped to achieve a higher accuracy that could justify the associated higher complexity and computational load of the search for the optimal solution. Experiments on multiple data sets have demonstrated that the trigram model has indeed a larger predictive power (a lower perplexity). This raised predictive power resulted in an improvement in the key extraction capabilities, but no improvement in chord extraction when compared to a system with a bigram musicological model

‘I didn’t know this was possible’ : reflections on a variety of Web 2.0, classroom-based and online technologies

This case study reports on the Engaging and Enhancing Student Learning (EESL) module which forms the core module of the newly HEA and Nursing and Midwifery Council (NMC) accredited blended Postgraduate Certificate in Academic Practice (PGCAP) offered by the Academic Development Unit (ADU) at the University of Salford. The successful completion of the PGCAP Programme leads to a teaching qualification in Higher Education (HE) and Fellowship of the HEA. The blended PGCAP, is a multi-disciplinary programme, which replaced the Postgraduate Certificate in Higher Education Practice and Research and was offered in Semester 1 of 2010/11 to new in-service academics and other professionals who support learning at the University of Salford. A number of participants have some or more extensive teaching and/or training experience in HE or other sectors. The case study presented here, refers to lessons learned from the first cohort completing the EESL module with a focus on how technology has been used to enhance and extend engagement, learning and teaching. The EESL module aims to introduce participants to learning and teaching in HE, and is aligned with the UK Professional Standards Framework (UK PSF). The EESL module is delivered over 13 weeks and consists of an online two-week pre-induction, nine face-to-face workshops and two online weekly seminars. Please note: Academics and other professionals who join the PGCAP Programme are referred in this case study as participants

Measuring impact of academic research in computer and information science on society

Academic research in computer & information science (CIS) has contributed immensely to all aspects of society. As academic research today is substantially supported by various government sources, recent political changes have created ambivalence amongst academics about the future of research funding. With uncertainty looming, it is important to develop a framework to extract and measure the information relating to impact of CIS research on society to justify public funding, and demonstrate the actual contribution and impact of CIS research outside academia. A new method combining discourse analysis and text mining of a collection of over 1000 pages of impact case study documents written in free-text format for the Research Excellence Framework (REF) 2014 was developed in order to identify the most commonly used categories or headings for reporting impact of CIS research by UK Universities (UKU). According to the research reported in REF2014, UKU acquired 83 patents in various areas of CIS, created 64 spin-offs, generated £857.5 million in different financial forms, created substantial employment, reached over 6 billion users worldwide and has helped save over £1 billion Pounds due to improved processes etc. to various sectors internationally, between 2008 and 2013

Integrating musicological knowledge into a probabilistic framework for chord and key extraction

In this contribution a formerly developed probabilistic framework for the simultaneous detection of chords and keys in polyphonic audio is further extended and validated. The system behaviour is controlled by a small set of carefully defined free parameters. This has permitted us to conduct an experimental study which sheds a new light on the importance of musicological knowledge in the context of chord extraction. Some of the obtained results are at least surprising and, to our knowledge, never reported as such before

A persistent infrastructure for augmented field trips

This paper describes an approach to the provision of pervasive field trips where a persistent infrastructure is provided, upon which teachers can easily create novel pervasive experiences for children. The physical infrastructure is briefly described along with the underlying information infrastructure, which enables the tools for authoring the content and designing the orchestration of the experience to be placed in the hands of teachers. A literacy experience and initial trials of the system are discussed, conclusions drawn, and future directions outlined

TV News Story Segmentation Based on Semantic Coherence and Content Similarity

In this paper, we introduce and evaluate two novel approaches, one using video stream and the other using close-caption text stream, for segmenting TV news into stories. The segmentation of the video stream into stories is achieved by detecting anchor person shots and the text stream is segmented into stories using a Latent Dirichlet Allocation (LDA) based approach. The benefit of the proposed LDA based approach is that along with the story segmentation it also provides the topic distribution associated with each segment. We evaluated our techniques on the TRECVid 2003 benchmark database and found that though the individual systems give comparable results, a combination of the outputs of the two systems gives a significant improvement over the performance of the individual systems

ePortfolios: models and implementation

This paper explores the use of ePortfolio tools to support teaching, learning and the personal and professional development of postgraduate students at the Institute of Education, University of London (IOE). The needs of tutors and students are considered alongside the affordances and limitations of specific tools in relation to these needs. The study involved five areas of postgraduate study at the IOE, one at PhD level, two at Masters level (MA in ICT in Education and MTeach) and two PGCE courses (PGCE in ICT and Post-Compulsory PGCE). Preliminary discussions with IOE staff revealed five common themes relating to the perceived purpose of an ePortfolio: model, ownership, collaboration, accessibility and support. The first theme relates to the definition of the ePortfolio, whilst the remaining themes address questions relating to ownership, control, use and user needs/development. In this paper, each of the themes and the questions raised within those areas are addressed in detail and a cross-comparative table of responses across each of five teaching scenarios is provided with levels of importance measured on a scale of 1 (low) to 4 (high)

Interactive Software to Accompany Yookoso: Has it all Been Worthwhile?

In this paper, we describe the development of interactive software to accompany Yookoso (Tohsaku 1999), the textbook in use in the first two years of the Japanese language course at Queensland University of Technology. We begin with a discussion of what is meant by interactivity; we then examine the advantages of using the software in association with the textbook package, as opposed to using the textbook package alone. We also discuss the importance of integrating multimedia materials into the curriculum and the role of the teacher in this model of ‘blended learning’. It is hoped the paper will prove useful to those who are considering implementing or have already implemented a CALL component in their Japanese language program

Learning An Invariant Speech Representation

Recognition of speech, and in particular the ability to generalize and learn from small sets of labelled examples like humans do, depends on an appropriate representation of the acoustic input. We formulate the problem of finding robust speech features for supervised learning with small sample complexity as a problem of learning representations of the signal that are maximally invariant to intraclass transformations and deformations. We propose an extension of a theory for unsupervised learning of invariant visual representations to the auditory domain and empirically evaluate its validity for voiced speech sound classification. Our version of the theory requires the memory-based, unsupervised storage of acoustic templates -- such as specific phones or words -- together with all the transformations of each that normally occur. A quasi-invariant representation for a speech segment can be obtained by projecting it to each template orbit, i.e., the set of transformed signals, and computing the associated one-dimensional empirical probability distributions. The computations can be performed by modules of filtering and pooling, and extended to hierarchical architectures. In this paper, we apply a single-layer, multicomponent representation for phonemes and demonstrate improved accuracy and decreased sample complexity for vowel classification compared to standard spectral, cepstral and perceptual features.Comment: CBMM Memo No. 022, 5 pages, 2 figure