Data-Based Spatial Audio Processing
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Citation: EURASIP Journal on Audio, Speech, and Music Processing 2022 2022:13
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An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction
The domain of spatial audio comprises methods for capturing, processing, and reproducing audio content that contains spatial information. Data-based methods are those that operate directly on the spatial infor...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2022 2022:10 -
Interaural time difference individualization in HRTF by scaling through anthropometric parameters
Head-related transfer function (HRTF) individualization can improve the perception of binaural sound. The interaural time difference (ITD) of the HRTF is a relevant cue for sound localization, especially in az...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2022 2022:9 -
On the selection of the number of beamformers in beamforming-based binaural reproduction
In recent years, spatial audio reproduction has been widely researched with many studies focusing on headphone-based spatial reproduction. A popular format for spatial audio is higher order Ambisonics (HOA), w...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2022 2022:6 -
Automatic discrimination between front and back ensemble locations in HRTF-convolved binaural recordings of music
One of the greatest challenges in the development of binaural machine audition systems is the disambiguation between front and back audio sources, particularly in complex spatial audio scenes. The goal of this...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2022 2022:3 -
dEchorate: a calibrated room impulse response dataset for echo-aware signal processing
This paper presents a new dataset of measured multichannel room impulse responses (RIRs) named dEchorate. It includes annotations of early echo timings and 3D positions of microphones, real sources, and image ...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:39 -
A multichannel learning-based approach for sound source separation in reverberant environments
In this paper, a multichannel learning-based network is proposed for sound source separation in reverberant field. The network can be divided into two parts according to the training strategies. In the first s...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:38 -
Efficient binaural rendering of spherical microphone array data by linear filtering
High-quality rendering of spatial sound fields in real-time is becoming increasingly important with the steadily growing interest in virtual and augmented reality technologies. Typically, a spherical microphon...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:37 -
Comparative evaluation of interpolation methods for the directivity of musical instruments
Measurements of the directivity of acoustic sound sources must be interpolated in almost all cases, either for spatial upsampling to higher resolution representations of the data, for spatial resampling to ano...
Citation: EURASIP Journal on Audio, Speech, and Music Processing 2021 2021:36