65 research outputs found
Frequency domain variant of Velvet noise and its application to acoustic measurements
We propose a new family of test signals for acoustic measurements such as
impulse response, nonlinearity, and the effects of background noise. The
proposed family complements difficulties in existing families, the Swept-Sine
(SS), pseudo-random noise such as the maximum length sequence (MLS). The
proposed family uses the frequency domain variant of the Velvet noise (FVN) as
its building block. An FVN is an impulse response of an all-pass filter and
yields the unit impulse when convolved with the time-reversed version of
itself. In this respect, FVN is a member of the time-stretched pulse (TSP) in
the broadest sense. The high degree of freedom in designing an FVN opens a vast
range of applications in acoustic measurement. We introduce the following
applications and their specific procedures, among other possibilities. They are
as follows. a) Spectrum shaping adaptive to background noise. b) Simultaneous
measurement of impulse responses of multiple acoustic paths. d) Simultaneous
measurement of linear and nonlinear components of an acoustic path. e)
Automatic procedure for time axis alignment of the source and the receiver when
they are using independent clocks in acoustic impulse response measurement. We
implemented a reference measurement tool equipped with all these procedures.
The MATLAB source code and related materials are open-sourced and placed in a
GitHub repository.Comment: 10 pages, 14 figures, APSIPA ASC 2019. arXiv admin note: text overlap
with arXiv:1806.0681
Efficient Signal Extrapolation by Granulation and Convolution with Velvet Noise
none2openStefano D'Angelo; Leonardo GabrielliD'Angelo, Stefano; Gabrielli, Leonard
Differentiable Artificial Reverberation
Artificial reverberation (AR) models play a central role in various audio
applications. Therefore, estimating the AR model parameters (ARPs) of a target
reverberation is a crucial task. Although a few recent deep-learning-based
approaches have shown promising performance, their non-end-to-end training
scheme prevents them from fully exploiting the potential of deep neural
networks. This motivates to introduce differentiable artificial reverberation
(DAR) models which allows loss gradients to be back-propagated end-to-end.
However, implementing the AR models with their difference equations "as is" in
the deep-learning framework severely bottlenecks the training speed when
executed with a parallel processor like GPU due to their infinite impulse
response (IIR) components. We tackle this problem by replacing the IIR filters
with finite impulse response (FIR) approximations with the frequency-sampling
method (FSM). Using the FSM, we implement three DAR models -- differentiable
Filtered Velvet Noise (FVN), Advanced Filtered Velvet Noise (AFVN), and
Feedback Delay Network (FDN). For each AR model, we train its ARP estimation
networks for analysis-synthesis (RIR-to-ARP) and blind estimation
(reverberant-speech-to-ARP) task in an end-to-end manner with its DAR model
counterpart. Experiment results show that the proposed method achieves
consistent performance improvement over the non-end-to-end approaches in both
objective metrics and subjective listening test results.Comment: Manuscript submitted to TASL
Haptics: Science, Technology, Applications
This open access book constitutes the proceedings of the 12th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2020, held in Leiden, The Netherlands, in September 2020. The 60 papers presented in this volume were carefully reviewed and selected from 111 submissions. The were organized in topical sections on haptic science, haptic technology, and haptic applications. This year's focus is on accessibility
Haptics: Science, Technology, Applications
This open access book constitutes the proceedings of the 12th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2020, held in Leiden, The Netherlands, in September 2020. The 60 papers presented in this volume were carefully reviewed and selected from 111 submissions. The were organized in topical sections on haptic science, haptic technology, and haptic applications. This year's focus is on accessibility
Proceedings of the 7th Sound and Music Computing Conference
Proceedings of the SMC2010 - 7th Sound and Music Computing Conference, July 21st - July 24th 2010
Exploring Animal Behavior Through Sound: Volume 1
This open-access book empowers its readers to explore the acoustic world of animals. By listening to the sounds of nature, we can study animal behavior, distribution, and demographics; their habitat characteristics and needs; and the effects of noise. Sound recording is an efficient and affordable tool, independent of daylight and weather; and recorders may be left in place for many months at a time, continuously collecting data on animals and their environment. This book builds the skills and knowledge necessary to collect and interpret acoustic data from terrestrial and marine environments. Beginning with a history of sound recording, the chapters provide an overview of off-the-shelf recording equipment and analysis tools (including automated signal detectors and statistical methods); audiometric methods; acoustic terminology, quantities, and units; sound propagation in air and under water; soundscapes of terrestrial and marine habitats; animal acoustic and vibrational communication; echolocation; and the effects of noise. This book will be useful to students and researchers of animal ecology who wish to add acoustics to their toolbox, as well as to environmental managers in industry and government
Exploring Animal Behavior Through Sound: Volume 1
This open-access book empowers its readers to explore the acoustic world of animals. By listening to the sounds of nature, we can study animal behavior, distribution, and demographics; their habitat characteristics and needs; and the effects of noise. Sound recording is an efficient and affordable tool, independent of daylight and weather; and recorders may be left in place for many months at a time, continuously collecting data on animals and their environment. This book builds the skills and knowledge necessary to collect and interpret acoustic data from terrestrial and marine environments. Beginning with a history of sound recording, the chapters provide an overview of off-the-shelf recording equipment and analysis tools (including automated signal detectors and statistical methods); audiometric methods; acoustic terminology, quantities, and units; sound propagation in air and under water; soundscapes of terrestrial and marine habitats; animal acoustic and vibrational communication; echolocation; and the effects of noise. This book will be useful to students and researchers of animal ecology who wish to add acoustics to their toolbox, as well as to environmental managers in industry and government
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