A Geometric Model for Prediction of Spatial Aliasing in 2.5D Sound Field Synthesis
The avoidance of spatial aliasing is a major challenge in the practical implementation of sound field synthesis. Such methods aim at a physically…
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<p>TASLP Volume 27 Issue 6</p>
The avoidance of spatial aliasing is a major challenge in the practical implementation of sound field synthesis. Such methods aim at a physically…
Read moreRecently, generative neural network models which operate directly on raw audio, such as WaveNet, have improved the state of the art in text-to-speech…
Read moreMulti-channel linear prediction (MCLP) can model the late reverberation in the short-time Fourier transform domain using a delayed linear predictor…
Read moreEach edition of the challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) contained several tasks involving sound event…
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IEEE Signal Processing Society publications, tools, and author resources. Learn more.
Upcoming events, deadlines, and planning resources. Learn more.
Signal processing education and professional development program for all career levels. Learn more.
Learn about SPS membership, Member Programs, Technical Committees, and access shared tools and support. Learn more.
IEEE Signal Processing Society publications, tools, and author resources. Learn more.
Resources, tools, and support for SPS volunteer leaders. Learn more.
The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.