BIAMP AEC-2HD PDF

Vim Near aaec-2hd It refers to the side upon which the canceler is designed to operate. Winner Wave TW Limited. Below is a typical design to internally mute microphones, with contact closures on a Voltage Control Box. We generally do not recommend muting or changing routing of the far end signal to the reference in the middle of a call. Some video codecs may have a built-in AEC feature. Biamp offers flexible, powerful solutions for installations large and small.

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This general design guideline is no different than a typical installation where the designer will try to optimize gain before feedback. Ceiling Microphones While commonly used, ceiling mics are problematic for the following reasons: They present the worst conditions for acoustic coupling between the microphone and the speaker, as both may be physically mounted in the same surface.

ERL values will very likely be positive since acoustic echo loss between the loudspeaker and microphone is minimal - the mics are very close to the speakers. Poor gain before feedback due to low voice volume relative to ambient room noise - due to distance from the mic. Poor voice pickup due to low voice volume relative to ambient room noise - due to distance from the mic. For all these reasons, and from our years of experience with AEC systems, Biamp Systems does not recommend using ceiling microphones if it is practical to use individual mics for participants.

However we recognize the aestheic bias toward micing from above and will work to help get the best results possible with all configurations. Avoid positioning your microphones and loud speakers close to one another to minimize the direct coupling between the two. At a minimum, placing them into seperate ceiling tiles to increase isolation is important.

Use appropriate placement of microphones to maximize signal to noise performance. If possible position mics so the coverage pattern is directed away from air handling noise, machinery noise, traffic noise, or other ambient noise.

Microphone choices include ceiling, boundary, gooseneck, DSP based microphone arrays. Try to find the best solution for the acoustic challenge at hand. Aesthetics are important, but intelligibility and a great sounding system are important as well.

Room Acoustics Acoustic treatment matters! Whether you are using AEC or not, the rules of physics still apply. An AEC system is not a solution to improve intelligibility in a highly reverberant and noisy environment. Rooms that already yield poor intelligibility make for terrible conferencing rooms.

Correcting an acoustical problem is best solved using acoustical treatment. Purpose built acoustic treatments are the first line of defense. Surfaces such as carpets, acoustic tiles, and bookshelves can provide surface area to absorb, dampen or at least attenuate acoustic echo.

On the other hand, highly reflective surfaces glass, bricks, etc. Understanding AEC Acoustic echo Acoustic echo is caused by acoustic coupling between a microphone and a loudspeaker in remote conferencing applications. The Far End signal is amplified and then reinforced by loudspeakers at the Near End. The direct sound line of sight from the speaker is picked up by the Near End microphone and sent back to the Far End. The sum of these returning signals is the acoustic echo.

Acoustic echo is perceived at the Far End by the Far End talker, who hears his original signal returned a few hundred milliseconds after speaking. The following diagram illustrates the concept of acoustic echo. Acoustic echo path An acoustic echo path is a reflection path between the loudspeaker and microphone causing echo at the far end. See the diagram above. As sound bounces off of reflective surfaces within the space, a number of echo paths are defined.

The shortest paths are the loudest if all surface materials are equally reflective and most prominent. Referring to the diagram below, the AEC reference is used to model the signal that needs to be removed from the microphone input channel. Based upon this model, an adaptive filter is created and continuously updated.

AEC algorithm By continuously monitoring differences in samples between the original "Far End" source signal and the local "Near End" microphone input, the AEC algorithm calculates filters to eliminate the echo. The AEC algorithm determines the acoustic echo components added between the loudspeaker and the microphone and applies adaptive acoustic filters to remove both the original "Far End" signal and its artifacts from the return leg.

Complexities of Acoustic Echo Cancellation First of all, the acoustic echo signal picked up by the microphone is different from the AEC reference. It has been amplified and played back in an unknown acoustic environment where acoustic reflections have further modified the signal. This is the process of modeling an out-of-polarity signal intended to cancel out the far end signal picked up by the microphone.

The adaptive filter design is where most of the AEC complexity lies. Adaptive filters need to correct for not only the direct path from the speaker, but also reflection paths from surfaces within the acoustic space. Finally, acoustics of a room may be constantly changing a wireless microphone being moved, people coming and leaving the room, etc.

The parameters of the adaptive filter are adjusted during convergence. The resulting filtered signal is an out of polarity model of the acoustic echo paths.

Echo is removed when the filtered signal is summed to the AEC input microphone signal. In the presence of any residual echo, Non-Linear Processing is applied on the signal as needed to suppress it. Finally, noise reduction may remove up to 15dB of static background noise picked up by the microphone. It operates from 20Hz to 20 kHz, even in double talk conditions. The convergence rate indicates how quickly the AEC algorithm models the room and adapts to echo path changes. Loss of convergence occurs when the AEC algorithm cannot track acoustic echo path changes resulting in echo being heard by the far end.

Loss of convergence is most commonly caused by incorrect gain structure. Residual echo Residual acoustic echo signal that was not removed by the AEC algorithm. Double talk This occurs when speech is generated on both ends of the line. It is the most demanding state for the AEC algorithm.

Far end The side on which the AEC algorithm does not operate. The far end room needs its own AEC solution to stop us hearing echo at the near end. Near end It refers to the side upon which the canceler is designed to operate. Remember that while the AEC hardware operates at the near end, only the far end benefits from acoustic echo cancelation. This explains why AEC systems are required on both ends for a complete conferencing solution. This will show?? Peak In If you are clipping the input to the mic pre-amp the Peak Input light will flicker, flash, or steadily light up.

If this is happening you need to reduce the gain level. Clipping will result in unacceptable distortion in the system. Gain In Gain In adjusts the sensitivity of the microphone in 6dB steps. This is achieved by adjusting the voltage supplied by a high-quality, professional analog pre-amp in the AEC card. Phantom Power Phan Pwr Phantom power is 48vdc power applied to the microphone input. It is used to supply bias power to a condenser mic.

It is not needed for dynamic mics or line level sources and may damage them if applied. Mute In Mutes the input. Level dB In This allows digital gain adjustment after the mic pre-amp to fine tune the input level. Invert In Inverts the polarity of the input signal. Also known as a "phase reverse" or "phase flip" switch.

This should be left off for unused channels or for channels not needing AEC. Adv Opens the Advanced settings window for this input channel. Automatically removes steady state background noise e. Noise reduction is a useful tool to improve the audio quality of the signal transmitted back to the remote site. Start at 6dB and adjust this filter upwards until the background noise is filtered to an acceptible level. Negative values indicate a loss and are desired for best performance. A positive value can indicate the mic input gain is too low or the speakers are too loud.

A target area of 0dB to dB is optimal. Microphone Mic Mic shows the input level of the currently selected microphone. This level should be at about 0dB for normal speaking levels in the space.

Although an open architecture DSP like AudiaFlex can help overcome some problems, the best designed and performing systems take all of these elements into consideration.

There are many different ways to design AEC systems and the following design guidelines are just recommendations for best results. The only constant design consideration that applies to ALL systems without exception is maintaining proper Gain Structure. AEC systems will perform best with unity gain 0dB throughout your entire DSP chain, so always keep in mind to set a proper gain structure.

Click on this layout image to see design details. A short note about the Leveler block. The Leveler is an automatic gain control, effectively functioning as a compressor, affecting long-term average levels. The response time controls how quickly the leveler will respond to a signal above threshold. Settings in the ms to ms range are common. A compressor differs from a leveler in the duration of the gain reduction applied, compressors and limiters are designed to handle short-term signal dynamics, or peaks.

Microphone inputs Always meter your inputs whether they are AEC inputs or not. Keep unity gain structure across the entire DSP chain inputs to outputs. Remember that settings are on a per channel basis and need to be updated on all inputs for consistent results.

Nonlinear Processing settings for addressing late echo issues are modified here. The front end of auxiliary and codec inputs would typically include a Leveler similar to a compressor but working by scaling, rather than compressing, the signal and Level Control blocks.

For a larger number of mics the Automixer should be used instead of the Level Control block. Note: Some video codecs may have a built-in AEC feature.

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BIAMP AEC-2HD PDF

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