A Critical Analysis of Synthesizer User Interfaces for Timbre

In this paper, we review and analyse categories of user interface used in hardware and software electronic music synthesizers. Problems with the user specification and modification of timbre are discussed. Three principal types of user interface for controlling timbre are distinguished. A problem common to all three categories is identified: that the core language of each category has no well-defined mapping onto the task languages of subjective timbre categories as used by musicians

Isolation of pigment cell specific genes in the sea urchin embryo by differential macroarray screening

New secondary mesenchyme specific genes, expressed exclusively in pigment cells, were isolated from sea urchin embryos using a differential screening of a macroarray cDNA library. The comparison was performed between mRNA populations of embryos having an expansion of the endo-mesodermal territory and embryos blocked in secondary mesenchyme specification. To be able to isolate transcripts with a prevalence down to five copies per cell, a subtractive hybridization procedure was employed. About 400 putative positive clones were identified and sequenced from the 5' end. Gene expression analysis was carried out on a subset of 66 clones with real time quantitative PCR and 40 clones were positive. This group of clones contained sequences highly similar to: the transcription factor glial cells missing (gcm); the polyketide synthase gene cluster (pks-gc); three different members of the flavin-containing monooxygenase gene family (fmo); and a sulfotransferase gene (sult). Using whole mount in situ hybridization, it was shown that these genes are specifically expressed in pigment cells. A functional analysis of the S. purpuratus pks and of one S. purpuratus fmo was carried out using antisense technology and it was shown that their expression is necessary for the biosynthesis of the sea urchin pigment echinochrome. The results suggest that S. purpuratus pks, fmo and sult could belong to a differentiation gene battery of pigment cells

Digital Color Imaging

This paper surveys current technology and research in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology. Present-day color recording and reproduction systems are reviewed along with the common mathematical models used for representing these devices. Algorithms for processing color images for display and communication are surveyed, and a forecast of research trends is attempted. An extensive bibliography is provided

Exploring the Digital Music Instrument Trombosonic with Extreme Users and at a Participatory Performance

We introduce the “Trombosonic” as a new digital music instrument inspired by the slide trombone. An ultrasonic sensor combined with a red laser allows the performer to play the instrument using similar movements to playing a trombone to change the pitch, despite the absence of a physical slider, by moving one hand back and forth. Additional sensors enhance the potential for musical expression by movement of the whole interface and by using the breath. We identify and discuss a variety of design issues arising from the Trombosonic. Due to its compact size and the lack of a slider, the Trombosonic can be played in many different ways. In order to explore varied potential uses of the Trombosonic, we carried out a series of informal evaluations. These included experts in new musical instruments, an older user, a younger user, an interaction design expert, and the audience at an experimental concert with audience participation. Future work is also discussed. Further technical development might include a built-in microphone to use the human voice and an expansion of the synthesiser’s features

Estimation from quantized Gaussian measurements: when and how to use dither

Subtractive dither is a powerful method for removing the signal dependence of quantization noise for coarsely quantized signals. However, estimation from dithered measurements often naively applies the sample mean or midrange, even when the total noise is not well described with a Gaussian or uniform distribution. We show that the generalized Gaussian distribution approximately describes subtractively dithered, quantized samples of a Gaussian signal. Furthermore, a generalized Gaussian fit leads to simple estimators based on order statistics that match the performance of more complicated maximum likelihood estimators requiring iterative solvers. The order statistics-based estimators outperform both the sample mean and midrange for nontrivial sums of Gaussian and uniform noise. Additional analysis of the generalized Gaussian approximation yields rules of thumb for determining when and how to apply dither to quantized measurements. Specifically, we find subtractive dither to be beneficial when the ratio between the Gaussian standard deviation and quantization interval length is roughly less than one-third. When that ratio is also greater than 0.822/K^0.930 for the number of measurements K > 20, estimators we present are more efficient than the midrange.https://arxiv.org/abs/1811.06856Accepted manuscrip

The combline filter and phase-lock loop. A new technique to improve FM television reception

Development and performance of combline filter phase locked loop combination for television receptio

Identification of Evolving Rule-based Models.

An approach to identification of evolving fuzzy rule-based (eR) models is proposed. eR models implement a method for the noniterative update of both the rule-base structure and parameters by incremental unsupervised learning. The rule-base evolves by adding more informative rules than those that previously formed the model. In addition, existing rules can be replaced with new rules based on ranking using the informative potential of the data. In this way, the rule-base structure is inherited and updated when new informative data become available, rather than being completely retrained. The adaptive nature of these evolving rule-based models, in combination with the highly transparent and compact form of fuzzy rules, makes them a promising candidate for modeling and control of complex processes, competitive to neural networks. The approach has been tested on a benchmark problem and on an air-conditioning component modeling application using data from an installation serving a real building. The results illustrate the viability and efficiency of the approach. (c) IEEE Transactions on Fuzzy System

Synthesizer Parameter Approximation by Deep Learning

Synthesizers have been an essential tool for composers of any style of music including computer generated sound. They allow for an expansion in timbral variety to the orchestration of a piece of music or sound scape. Sound designers are trained to be able to recreate a timbre in their head using a synthesizer. This works well for simple sounds but becomes more difficult as the number of parameters required to produce a specific timbre increase. The goal of this research project is to formulate a method for synthesizers to approximate a timbre given an input audio sample using deep learning. The synthesizer should be able to modify its settings (oscillators, filters, LFOs, effects, etc.) to produce an audio signal as close to the input sample as possible. A cost function will measure the difference between the outputted audio signal from the learned synthesizer parameters and the original audio signal that is being mimicked

Disembodiment: Reproduction, Transcription, And Trace

This article poses the question, what is so great about the body? Recent scholarship has emphasized the concept of an embodied cognition and reminded us of the significance of embodiment in musical performance. Yet, vital as these observations may be, they offer only a limited view of what ‘touch’ can mean. Following the semiotic notion of the index as a sign with a real connection to its object, writers and artists such as Friedrich Kittler, Ai Weiwei, Kenneth Goldsmith and Nicolas Donin have reflected on how the reproductions of the gramophone needle, the calligrapher's brush, the blogger's keyboard, and the programmer's code can trace meaningful points of contact. Examples from my own practice illustrate some of the many possible ways that digital traces can be touching