Investigating computational models of perceptual attack time

The perceptual attack time (PAT) is the compensation for differing attack components of sounds, in the case of seeking a perceptually isochronous presentation of sounds. It has applications in scheduling and is related to, but not necessarily the same as, the moment of perceptual onset. This paper describes a computational investigation of PAT over a set of 25 synthesised stimuli, and a larger database of 100 sounds equally divided into synthesised and ecological. Ground truth PATs for modeling were obtained by the alternating presentation paradigm, where subjects adjusted the relative start time of a reference click and the sound to be judged. Whilst fitting experimental data from the 25 sound set was plausible, difficulties with existing models were found in the case of the larger test set. A pragmatic solution was obtained using a neural net architecture. In general, learnt schema of sound classification may be implicated in resolving the multiple detection cues evoked by complex sounds

Towards a style-specific basis for computational beat tracking

Outlined in this paper are a number of sources of evidence, from psychological, ethnomusicological and engineering grounds, to suggest that current approaches to computational beat tracking are incomplete. It is contended that the degree to which cultural knowledge, that is, the specifics of style and associated learnt representational schema, underlie the human faculty of beat tracking has been severely underestimated. Difficulties in building general beat tracking solutions, which can provide both period and phase locking across a large corpus of styles, are highlighted. It is probable that no universal beat tracking model exists which does not utilise a switching model to recognise style and context prior to application

Corposing a history of electronic music.

A current research project led by the author has collated nearly 2,000 historic electronic music works for the purposes of musicology; nonetheless, this collection is highly amenable to composition. New pieces can be realized by rendering a selected chronology of electronic music history. The context is a wider field of compositional endeavor in “corposition” over large audio databases especially opened up by new research in music information retrieval

Phalanger: controlling music software with hand movement using a computer vision and machine learning approach

Phalanger is a system which facilitates the control of music software with hand and finger motion, with the aim of creating a fluid style of interaction that promotes musicality. The system is purely video based, requires no wearables or accessories and uses affordable and accessible technology. It employs a neural network for background segmentation, a combination of imaging techniques for frame analysis, and a support vector machine (SVM) for recognition of hand positions. System evaluation showed the SVM to reliably differentiate between eight different classes. An initial formative user evaluation with ten musicians was carried out to help build a picture of how users responded to the system; this highlighted areas that need improvement and lent some insight into useful features for the next version

Parts of Quantum States

It is shown that generic N-party pure quantum states (with equidimensional subsystems) are uniquely determined by their reduced states of just over half the parties; in other words, all the information in almost all N-party pure states is in the set of reduced states of just over half the parties. For N even, the reduced states in fewer than N/2 parties are shown to be an insufficient description of almost all states (similar results hold when N is odd). It is noted that Real Algebraic Geometry is a natural framework for any analysis of parts of quantum states: two simple polynomials, a quadratic and a cubic, contain all of their structure. Algorithmic techniques are described which can provide conditions for sets of reduced states to belong to pure or mixed states.Comment: 10 pages, 1 figur

Plan your pandemic: A guide for GPs

Background Influenza A virus has a range of subtypes characterised by the display of particular surface structures and is associated with significant symptoms and a tendency to cause epidemics and pandemics. Objective This article presents a checklist to assist general practitioners in preparing for an influenza pandemic. Discussion The Australian Federal Government launched ‘Exercise Cumpston’ in October 2006 to assess Australian pandemic preparedness. The report of the outcomes recommends the integration of general practice into the planning process at a national and jurisdictional level. General practitioners are enthusiastic about receiving further information and training in pandemic preparedness but preparing a general practice to deal with an influenza pandemic is a complex task

Cholesteatoma and family history: An international survey

Objective To explore the relative frequency of a family history of cholesteatoma in patients with known cholesteatoma, and whether bilateral disease or earlier diagnosis is more likely in those with a family history. Associations between cleft lip or palate and bilateral disease and age of diagnosis were also explored. Design An online survey of patients with diagnosed cholesteatoma was conducted between October 2017 and April 2019. Participants The sample consisted of patients recruited from two UK clinics and self‐selected respondents recruited internationally via social media. Main outcome measures Side of cholesteatoma, whether respondents had any family history of cholesteatoma, age of diagnosis and personal or family history of cleft lip or palate were recorded. Results Of 857 respondents, 89 (10.4%) reported a positive family history of cholesteatoma. Respondents with a family history of cholesteatoma were more likely to have bilateral cholesteatoma (P = .001, odds ratio (OR) 2.15, 95% confidence interval (CI) 1.35‐3.43), but there was no difference in the age of diagnosis (P = .23). Those with a history of cleft lip or palate were not more likely to have bilateral disease (P = .051, OR 2.71, CI 1.00‐7.38), and there was no difference in age of diagnosis (P = .11). Conclusion The relatively high proportion of respondents that reported a family history of cholesteatoma offers supporting evidence of heritability in cholesteatoma. The use of social media to recruit respondents to this survey means that the results cannot be generalised to other populations with cholesteatoma. Further population‐based research is suggested to determine the heritability of cholesteatoma

Applying Deep Learning To Airbnb Search

The application to search ranking is one of the biggest machine learning success stories at Airbnb. Much of the initial gains were driven by a gradient boosted decision tree model. The gains, however, plateaued over time. This paper discusses the work done in applying neural networks in an attempt to break out of that plateau. We present our perspective not with the intention of pushing the frontier of new modeling techniques. Instead, ours is a story of the elements we found useful in applying neural networks to a real life product. Deep learning was steep learning for us. To other teams embarking on similar journeys, we hope an account of our struggles and triumphs will provide some useful pointers. Bon voyage!Comment: 8 page

Evaluating the environmental dimension of material efficiency strategies relating to the circular economy.

Material efficiency is a key element of new thinking to address the challenges of reducing impacts on the environment and of resource scarcity, whilst at the same time meeting service and functionality demands on materials. Directly related to material efficiency is the concept of the Circular Economy, which is based on the principle of optimising the utility embodied in materials and products through the life-cycle. Although materials such as steel, on account of high recycling rates at end-of-life, are amongst the most ‘circular’ of manufactured materials, significant opportunities for greater material efficiency exist, which are yet to be widely implemented. Life Cycle Assessment (LCA) is commonly used to assess the environmental benefits of recovering and recycling materials through the manufacturing supply chain and at end-of-life. Using an example taken from renewable energy generation, this paper explores the correlation between product circularity and the environmental case for strategies designed to improve material efficiency. An LCA-based methodology for accounting for the recovery and reuse of materials from the supply chain and at end-of-life is used as the basis for calculating the carbon footprint benefits of five material efficiency scenarios. The results are compared with a number of proposed material circularity indicators. Two conclusions from this exercise are that (i) LCA methodologies based around end-of-life approaches are well placed for quantifying the environmental benefits of material efficiency and circular economy strategies and (ii) when applying indicators relating to the circularity of materials these should also be supported by LCA-based studies.N/