Download A Deep Learning Approach to the Prediction of Time-Frequency Spatial Parameters for Use in Stereo Upmixing This paper presents a deep learning approach to parametric timefrequency parameter prediction for use within stereo upmixing algorithms. The approach presented uses a Multi-Channel U-Net with Residual connections (MuCh-Res-U-Net) trained on a novel dataset of stereo and parametric time-frequency spatial audio data to predict time-frequency spatial parameters from a stereo input signal for positions on a 50-point Lebedev quadrature sampled sphere. An example upmix pipeline is then proposed which utilises the predicted time-frequency spatial parameters to both extract and remap stereo signal components to target spherical harmonic components to facilitate the generation of a full spherical representation of the upmixed sound field.
Download B-Format Acoustic Impulse Response Measurement and Analysis In the Forest at Koli National Park, Finland Acoustic impulse responses are used for convolution based auralisation and reverberation techniques for a range of applications, such as music production, sound design and virtual reality systems. These impulse responses can be measured in real world environments to provide realistic and natural sounding reverberation effects. Analysis of this data can also provide useful information about the acoustic characteristics of a particular space. Currently, impulse responses recorded in outdoor conditions are not widely available for surround sound auralisation and research purposes. This work presents results from a recent acoustic survey of measurements at three locations in the snow covered forest of Koli National Park in Finland during early spring. Acoustic impulse responses were measured using a B-format Soundfield microphone and a single loudspeaker. The results are analysed in terms of reverberation and spatial characteristics. The work is part of a larger study to collect and investigate acoustic impulse responses from a variety of outdoor locations under different climatic conditions.
Download Audio-Tactile Glove This paper introduces the Audio-Tactile Glove, an experimental tool for the analysis of vibrotactile feedback in instrument design. Vibrotactile feedback provides essential information in the operation of acoustic instruments. The Audio-Tactile Glove is designed as a research tool for the investigation of the various techniques used to apply this theory to digital interfaces. The user receives vibrations via actuators distributed throughout the glove, located so as not to interrupt the physical contact required between user and interface. Using this actuator array, researchers will be able to independently apply vibrotactile information to six stimulation points across each hand exploiting the broad frequency range of the device, with specific sensitivity within the haptic frequency range of the hand. It is proposed that researchers considering the inclusion of vibrotactile feedback in existing devices can utilize this device without altering their initial designs.
Download Diffuse-field Equalisation of First-order Ambisonics Timbre is a crucial element of believable and natural binaural synthesis. This paper presents a method for diffuse-field equalisation of first-order Ambisonic binaural rendering, aiming to address the timbral disparity that exists between Ambisonic rendering and head related transfer function (HRTF) convolution, as well as between different Ambisonic loudspeaker configurations. The presented work is then evaluated through listening tests, and results indicate diffuse-field equalisation is effective in improving timbral consistency.