The Turning Forest — An object-based audio production dataset (2019)
Data

Object-based audio production dataset "The Turning Forest"
==========================================================

This dataset contains an object-based audio scene packaged as a project for the digital audio workstation Reaper http://www.reap... Read More about The Turning Forest — An object-based audio production dataset.

Family — An object-based audio production dataset (2019)
Data

Object-based audio production dataset "Family"
==============================================

This dataset contains an object-based audio scene packaged as a project for the digital audio workstation Reaper http://www.reaper.fm

It is available... Read More about Family — An object-based audio production dataset.

Protest — An object-based audio production dataset (2019)
Data

Object-based audio production dataset "Protest"
===============================================

This dataset contains an object-based audio scene packaged as a project for the digital audio workstation Reaper http://www.reaper.fm

It is availab... Read More about Protest — An object-based audio production dataset.

ReadMe_v2_Harvard_British_English_recording_2019 (2019)
Data

A detailed overview of the new, high-quality digital audio recording and processing of the HARVARD speech corpus in its entirety (720 sentences) by a female native British English speaker. Generated: December 2018 at the Univesity of Salford.

.txt... Read More about ReadMe_v2_Harvard_British_English_recording_2019.

Master speech audio file: 100 HARVARD corpus sentences (2019)
Data

A concatenated audio .wav file of 100 x spoken sentences from Demonte (2019): HARVARD speech corpus - audio recording 2019. figshare. collection (https://doi.org/10.17866/rd.salford.c.4437578.v1).

* Native British female speaker

Audio file used... Read More about Master speech audio file: 100 HARVARD corpus sentences.

White noise - master audio file (2019)
Data

Audio .wav file of white noise, used for the creation of speech-shaped noise (SSN).

Sampling rate: 48 kHz

Matlab script - make masking noises - LPC method (2019)
Data

A script compatible with Matlab 2019b to generate speech-shaped noise (SSN) and speech-modulated noise (SMN) using the linear predictive coding (LPC) method.

Requires:
* concatenated audio .wav file of 100 spoken sentences
* audio .wav file of w... Read More about Matlab script - make masking noises - LPC method.

Matlab script - make masking noises - pwelch method (2019)
Data

A script compatible with Matlab 2019b to generate speech-shaped noise (SSN) and speech-modulated noise (SMN) using the pwelch method. Includes lines for optional 1/3 octave band smoothing.

Requires:
* concatenated audio .wav file of 100 spoken se... Read More about Matlab script - make masking noises - pwelch method.

Speech shaped noise master audio - HARVARD speech corpus (2019)
Data

Master audio .wav file of speech shaped noise (SSN) generated by 52nd order linear predictive coding (see Matlab script).

Sampling rate: 48 kHz

For use in testing of speech intelligibility with Demonte (2019): HARVARD speech corpus - audio reco... Read More about Speech shaped noise master audio - HARVARD speech corpus.

Speech modulated noise master audio - HARVARD speech corpus (2019)
Digital Artefact

Master audio .wav file of speech modulated noise (SMN), created from envelope of speech applied in time domain to speech-shaped noise (SSN) generated by 52nd order linear predictive coding (see Matlab script).

Sampling rate: 48 kHz

For use in t... Read More about Speech modulated noise master audio - HARVARD speech corpus.

Private View Invitation to 'Aftermath' exhibition (2019)
Data

Invitation to Private View of 'Aftermath' exhibition 12th Feb 2016.

Press Release-'Aftermath' exhibition-Jill Randall (2019)
Data

Press release for exhibition.

Aftermath exhibition Focus Group Invite 7th Oct 2016 (2019)
Data

Invitation to Focus Group.
Example of public engagement activities to measure and assess impact of exhibition on audiences.

PDF of Presentation to Focus Groups 'Aftermath' Exhibition (2019)
Data

PDF of presentation given along with Dr Gaynor Bagnall to Focus Groups.
Example of material used to disseminate research findings from data collection exercises in exhibition including questionnaires, 'walking interviews' and comments books.

PDF of Paper given at Contemporary Art in the Heritage Experience Conference, Newcastle University July 2019. (2019)
Data

PDF of Paper : Understanding the audience experience of contemporary visual arts at Geevor Mine World Heritage Site: A dialogue between a contemporaray artist and a sociologist'.
Understanding the audience experience of

contemporary visual arts a... Read More about PDF of Paper given at Contemporary Art in the Heritage Experience Conference, Newcastle University July 2019..

Venice Biennale Official Invitation to participate (2019)
Data

Official invitation from Global Art Affairs (GAA) at the European Cultural Centre, to participate in the 'Personal Structures' exhibition, Palazzo Mora, Venice, Italy in 2019.

Exhibition poster for PAPER Pavilion, 'Personal Structures' exhibition, Palazzo Mora for the Venice Biennale. (2019)
Data

Exhibition poster.

Rationale for exhibition. (2019)
Data

Critical text written by Jill Randall and Dr David Hancock providing the rationale behind the PAPER Pavilion exhibition, describing key themes and curatorial agendas.
The text is displayed in the exhibition and the accompanying catalogue.

Jill Randall sculpture statement (2019)
Data

Descriptive statement on the rationale behind the series of 11 sculptures presented for the "Personal Structures' exhibition at the Palazzo Mora, Venice. It describes Randall's methodology and key themes and ideas.

Article on Jill Randall's work in 'Personal Structures' exhibition for international sculpture magazine. (2019)
Data

Article written by arts journalist Claudia Thiel about Jill Randall's work in the 'Personal Structures' exhibition for the international online periodical of 'sculpture network'-the European organisation for three-dimensional art.