<i>DAFX—Digital Audio Effects </i>

Zölzer, Udo; Smith, Julius O.

doi:10.1121/1.1616923

Cited by 16 publications

(19 citation statements)

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“…One of limiting variants is so-called "infinite limiting" or "clipping" [22] A clipper circuit comprising a high-pass filter, a gain stage and a gain-limit stage has been realized. Its schematic is shown in the Fig.…”

Section: Infinite Limiter (Overdrive Effect)mentioning

confidence: 99%

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Dynamically Programmable Analog Arrays in Acoustic Frequency Range Signal Processing

Falkowski¹,

Malcher²

2011

Metrology and Measurement Systems

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Field programmable analog arrays (FPAA), thanks to their flexibility and reconfigurability, give the designers quite new possibilities in analog circuit design. The number of both academic projects on FPAA and applications of commercially available programmable devices is still growing. This paper explores the properties and parameters of two most popular FPAA circuits: the AnadigmVortex AN221E04 and AnadigmApex AN231E04 from the Anadigm company. The research conducted by the authors led to the discovery of some undocumented features of these devices. Several applications for audio processing were built and tested. The results show that these circuits can be used in medium-demanding audio applications. Thanks to dynamic reconfigurability, they also allow to build an universal analog audio signal processor. These circuits can also act as a versatile platform for rapid prototyping and educational purposes.

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Section: Infinite Limiter (Overdrive Effect)mentioning

confidence: 99%

“…To verify that, some audio effect circuits described in [22] were designed and implemented using AN231E04 FPAA. Due to limitations of the development platform, the experiments were limited to standalone applications of the circuit.…”

Section: Research On Audio Signal Processingmentioning

confidence: 99%

Dynamically Programmable Analog Arrays in Acoustic Frequency Range Signal Processing

Falkowski¹,

Malcher²

2011

Metrology and Measurement Systems

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“…We partition the signal from the bluetooth microphone into equal duration frames of size T = 1024 samples at 16Khz, and perform an amplitude thresholding process to detect the speech activity by the APP. Once we detect speech by the APP, we use the time domain pitch shifting technique to modify the speech throughout its duration, thereby protecting the privacy [8]. To reduce the rapid switching between detection during pauses, we delay the decision by 24 buffer periods, equivalent to 1.5s, before we switch back from distorting the APP signal.…”

Section: Audio Privacy Protection By Pitch Shiftingmentioning

confidence: 99%

Audio-visual privacy protection for video conference

Venkatesh

Zhao

Profitt

et al. 2009

2009 IEEE International Conference on Multimedia and Expo

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Abstract-Group video-conferencing systems are routinely used in major corporations, hospitals and universities for meetings, tele-medicine and distance learning among participants from very distant locations. As the use of video-conferencing becomes widely prevalent, the privacy concern's raised by this technology becomes an important issue to be addressed. In this paper we propose a real-time privacy preserving video conferencing system which protects the visual and audio privacy of selected individuals. In our proposed system we differentiate between the general participants and private participants (PP) whose privacy needs to be protected. We further divide the private participants into two different categories and provide a varying level of privacy protection based on the requirements. Specifically, among private participants, we have Active Private Participants (APP) who interactively participate in the meeting and Passive Private Participants (PPP) who play a passive observatory role. The video and audio privacy of the APP are protected by obfuscating their visual information by simple black boxing and real-time pitch modification process respectively. For the PPP, we completely protect their privacy by continuously detecting their presence and erasing them with a real-time adaptive background replacement process.

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“…The latter is done on the DSP core, while the others are performed by the GPP (ARM Processor). The User Interface allows the user to dynamically control the azimuth angle θ, azimuth automatic change rate, output volume, turn off the filters individually (so to benchmark localization quality easily without the need to rebuild the solution) and chose among three possible infinite loop audio inputs: noise, an A tone (440Hz) or a short phrase from Suzanne Vega's Tom's Diner (benchmark track suggested in [16] for its pure-voice contents). Audio Output and Signal Processing blocks require real time operation to operate smoothly and are detailed on Sect.…”

Section: Developmentmentioning

confidence: 99%

A Structural Parametric Binaural 3D Sound Implementation Using Open Hardware

Silva

Götz

2013

IFIP Advances in Information and Communication Technology

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Abstract. Most binaural 3D sound implementations use large databases with pre-recorded transfer functions, which are mostly prohibitive for real time embedded applications. This article focus on a parametric approach proposal, opening space for customizations and to add new processing blocks easily. In this work we show the feasibility of a parametric binaural architecture for dynamic sound localization in embedded platforms for mobile applications, ranging from multimedia and entertainment to hearing aid for individuals with visual disabilities. The complete solution, ranging from algorithms analysis and suiting, development using the Beagleboard platform for prototyping, and performance benchmarks, are presented.

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DAFX—Digital Audio Effects

Cited by 16 publications

References 0 publications

Dynamically Programmable Analog Arrays in Acoustic Frequency Range Signal Processing

Dynamically Programmable Analog Arrays in Acoustic Frequency Range Signal Processing

Audio-visual privacy protection for video conference

A Structural Parametric Binaural 3D Sound Implementation Using Open Hardware

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