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Echo suppression and echo cancellation are methods used in telephony to improve voice quality by preventing echo from being created or removing it after it is already present. In addition to improving subjective audio quality, echo suppression increases the capacity achieved through silence suppression by preventing echo from traveling across a telecommunications network. Echo suppressors were developed in the 1950s in response to the first use of satellites for telecommunications, but they have since been largely supplanted by better performing echo cancellers.
Echo suppression and cancellation methods are commonly called acoustic echo suppression (AES) and acoustic echo cancellation (AEC), and more rarely line echo cancellation (LEC). In some cases, these terms are more precise, as there are various types and causes of echo with unique characteristics, including acoustic echo (sounds from a loudspeaker being reflected and recorded by a microphone, which can vary substantially over time) and line echo (electrical impulses caused by, e.g., coupling between the sending and receiving wires, impedance mismatches, electrical reflections, etc.,[1] which varies much less than acoustic echo). In practice, however, the same techniques are used to treat all types of echo, so an acoustic echo canceller can cancel line echo as well as acoustic echo. AEC in particular is commonly used to refer to echo cancelers in general, regardless of whether they were intended for acoustic echo, line echo, or both.
Echo cancellation software (commercial) from SoliCall for any VoIP PBX. OSLEC is a free high quality echo canceller. It works well on lines where the built-in Zaptel echo canceller fails. No tweaks like rxgain/txgain or fxotrain are required. Oslec is supplied as GPL licensed C source code and is free as in speech. Echo suppression and echo cancellation are methods used in telephony to improve voice quality by preventing echo from being created or removing it after it is already present. In addition to improving subjective audio quality, echo suppression increases the capacity achieved through silence suppression by preventing echo from traveling across a telecommunications network. The echo cancellers are compiled and installed as part of the dahdi-linux package. You can specify in this file the echo canceller to be used for each channel. The default behavior is for there to be NO echo canceller on any channel, so it is very important that you specify one here. Valid echo cancellers are: hwec, mg2, kb1, sec2, and sec.
SoliCall has developed innovative software that helps VoIP users to improve voice quality. Allows one to make VoIP calls, while harnessing the power of Adaptive Digital's audio algorithms. This includes acoustic echo cancellation, noise reduction, three different audio codecs (G. Free colour picker and colour-editing tool. The new generation of software echo cancellation are (1) significantly improved from the old generation (2) can handle complex scenarios that hardware echo cancellation fails to handle (3) provides greater flexibility to the system administrator and (4) the training is no longer required.
Although echo suppressors and echo cancellers have similar goals—preventing a speaking individual from hearing an echo of their own voice—the methods they use are different:
ITU standards G.168 and P.340 describe requirements and tests for echo cancellers in digital and PSTN applications, respectively.
In telephony, echo is the reflected copy of one's voice heard some time later. If the delay is fairly significant (more than a few hundred milliseconds), it is considered annoying. If the delay is very small (10s of milliseconds or less[3]), the phenomenon is called sidetone. If the delay is slightly longer, around 50 milliseconds, humans cannot hear the echo as a distinct sound, but instead hear a chorus effect.[3]
In the earlier days of telecommunications, echo suppression was used to reduce the objectionable nature of echos to human users. One person speaks while the other listens, and they speak back and forth. An echo suppressor attempts to determine which is the primary direction and allows that channel to go forward. In the reverse channel, it places attenuation to block or suppress any signal on the assumption that the signal is echo. Although the suppressor effectively deals with echo, this approach leads to several problems which may be frustrating for both parties to a call.
In response to this, Bell Labs developed echo canceler theory in the early 1960s,[4][5] which then resulted in laboratory echo cancelers in the late 1960s and commercial echo cancelers in the 1980s.[6] An echo canceller works by generating an estimate of the echo from the talker's signal, and subtracts that estimate from the return path. This technique requires an adaptive filter to generate a signal accurate enough to effectively cancel the echo, where the echo can differ from the original due to various kinds of degradation along the way. Since invention at AT&T Bell Labs[5] echo cancellation algorithms have been improved and honed. Like all echo cancelling processes, these first algorithms were designed to anticipate the signal which would inevitably re-enter the transmission path, and cancel it out.
Rapid advances in digital signal processing allowed echo cancellers to be made smaller and more cost-effective. In the 1990s, echo cancellers were implemented within voice switches for the first time (in the Northern Telecom DMS-250) rather than as standalone devices. The integration of echo cancellation directly into the switch meant that echo cancellers could be reliably turned on or off on a call-by-call basis, removing the need for separate trunk groups for voice and data calls. Today's telephony technology often employs echo cancellers in small or handheld communications devices via a software voice engine, which provides cancellation of either acoustic echo or the residual echo introduced by a far-end PSTN gateway system; such systems typically cancel echo reflections with up to 64 milliseconds delay.
The echo cancellation process works as follows:
The primary challenge for an echo canceller is determining the nature of the filtering to be applied to the far-end signal such that it resembles the resultant near-end signal. The filter is essentially a model of speaker, microphone and the room's acoustical attributes. Echo cancellers must be adaptive because the characteristics of the near-end's speaker and microphone are generally not known in advance. The acoustical attributes of the near-end's room are also not generally known in advance, and may change (e.g., if the microphone is moved relative to the speaker, or if individuals walk around the room causing changes in the acoustic reflections).[2][7] By using the far-end signal as the stimulus, modern systems use an adaptive filter and can converge from providing no cancellation to 55 dB of cancellation in around 200 ms.[citation needed]
Until recently echo cancellation only needed to apply to the voice bandwidth of telephone circuits. PSTN calls transmit frequencies between 300 Hz and 3 kHz, the range required for human speech intelligibility. Videoconferencing is one area where full bandwidth audio is used. In this case, specialized products are employed to perform echo cancellation.
Because echo suppression has known limitations, in an ideal situation, echo cancellation alone will be used. However, this is insufficient in many applications, notably software phones on networks with long delay and meager throughput. Here, echo cancellation and suppression can work in conjunction to achieve acceptable performance.
Echo is measured as echo return loss (ERL). This is the ratio, expressed in decibels, of original and it's echo.[8] High values mean the echo is very weak, while low values mean the echo is very strong. Negative indicate the echo is stronger than the original signal, which if left unchecked would cause audio feedback.
The performance of an echo canceller is measured in echo return loss enhancement (ERLE),[3][9] which is the amount of additional signal loss applied by the echo canceller. Most echo cancellers are able to apply 18 to 35 dB ERLE.
The total signal loss of the echo (ACOM) is the sum of the ERL and ERLE.[9][10]
Sources of echo are found in everyday surroundings such as:
In some of these cases, sound from the loudspeaker enters the microphone almost unaltered. The difficulties in canceling echo stem from the alteration of the original sound by the ambient space. These changes can include certain frequencies being absorbed by soft furnishings and reflection of different frequencies at varying strength.
Implementing AEC requires engineering expertise and a fast processor, usually in the form of a digital signal processor (DSP), this cost in processing capability may come at a premium, however, many embedded systems do have a fully functional AEC.
Smart speakers and interactive voice response systems that accept speech for input use AEC while speech prompts are played to prevent the system's own speech recognition from falsely recognizing the echoed prompts and other output.
Standard telephone lines use the same pair of wires to both send and receive audio, which results in a small amount of the outgoing signal being reflected back. This is useful for people talking on the phone, as it provides a signal to the speaker that their voice is making it through the system. However, this reflected signal causes problems for a modem, which is unable to distinguish between a signal from the remote modem and the echo of its own signal.
For this reason, earlier dial-up modems split the signal frequencies, so that the devices on either end used different tones, allowing each one to ignore any signals in the frequency range it was using for transmission. However, this diminished the amount of bandwidth available to both sides.
Echo cancellation mitigated this problem. During the call setup and negotiation period, both modems send a series of unique tones and then listen for them to return through the phone system. They measure the total delay time, then configure a delay line for that same period. Once the connection is completed, they send their signals into the phone lines as normal, but also into the delay line. When their signal is reflected back, it is mixed with the inverted signal from the delay line, which cancels out the echo. This allowed both modems to use the full spectrum available, doubling the possible speed.
Echo cancellation is also applied by many telcos to the line itself, and can cause data corruption rather than improving the signal. Some telephone switches or converters (such as analog terminal adapters) disable echo suppression or echo cancellation when they detect the 2100 or 2225 Hz answer tones associated with such calls, in accordance with ITU-T recommendation G.164 or G.165.
ISDN and DSL modems operating at frequencies above the voice band over standard twisted-pair telephone wires also make use of automated echo cancellation to allow simultaneous bidirectional data communication. The computational complexity in implementing the adaptive filter is much reduced compared to voice echo cancelling because the transmit signal is a digital bit stream. Instead of a multiplication and an addition operation for every tap in the filter, only the addition is required. A RAM lookup table based echo cancelling scheme[11][12] eliminates even the addition operation by simply addressing a memory with a truncated transmit bit stream to obtain the echo estimate. With advances in semiconductor technology echo cancellation is now commonly implemented with Digital Signal Processor (DSP) techniques.
Some modems use separate incoming and outgoing frequencies or allocate separate time slots for transmitting and receiving to eliminate the need for echo cancellation. Higher frequencies beyond the original design limits of telephone cables suffer significant attenuation distortion due to bridge taps and incomplete impedance matching. Deep, narrow frequency gaps which cannot be remedied by echo cancellation often result. These are detected and mapped out during connection negotiation. Power pivot microsoft excel for mac.