No relevant resource is found in the selected language.

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Read our privacy policy>Search

Reminder

To have a better experience, please upgrade your IE browser.

upgrade

CloudEC V600R019C00 Troubleshooting (Enterprise On-premises, Convergent Conference)

Rate and give feedback:
Huawei uses machine translation combined with human proofreading to translate this document to different languages in order to help you better understand the content of this document. Note: Even the most advanced machine translation cannot match the quality of professional translators. Huawei shall not bear any responsibility for translation accuracy and it is recommended that you refer to the English document (a link for which has been provided).
Noise or Abnormal Volume

Noise or Abnormal Volume

Symptoms and Possible Causes

(The following takes input noise and MIC volume adjustment as examples.)

Symptoms: In a multi-party conference or P2P call, voice collection of some participants is often abnormal, causing extremely low volume or a loud background noise. Therefore, such participants' voice is difficult to hear.

The problems are mainly caused by endpoint settings or problems in the environment of the MIC.

Processing Idea

Currently, level counters for evaluating the voice and noise levels are defined for endpoints. Such level counters can be analyzed to determine the cause of the preceding problems.

Diagnosis

Figure 1-14 Noise or Abnormal Volume
P1, The Voice of the Local Participant Is Low and Cannot Be Heard Clearly by Other Participants

[Determination rule]

During a conference, if the voice of a participant cannot be heard clearly by all the other participants but the communication of the other participants is normal, the diagnosis process goes to this branch.

P2, The Volume of the Collected Voice of the Local Participant Is Low

[Determination rule]

The volume of the collected voice of the local participant is low. The comparison between the voice collection level and voice sending level and MIC volume adjustment event are used for determination. The volume of the voice collected by the MIC ranges from 1 to 100. A larger value indicates a larger volume. During a call, if you can detect that the volume value is small, for example, less than 20, in a volume adjustment event, the fault may be caused by improper MIC volume settings. If no MIC volume adjustment event occurs during a call, observe the relationship between the voice collection level and voice sending level. If the voice sending level is much less than the voice collection level in a long time, you can determine that the low volume is caused by improper MIC volume settings because the MIC volume settings affect only the voice sending level but does not affect the voice collection level.

[Example]

As shown in Figure 1 Endpoint volume adjustment counters, if you detect a MIC volume adjustment event and the volume is finally adjusted to 5, you can determine that the fault is caused by improper MIC settings. In addition, as shown in Figure 2 Counters indicating the voice collection level and voice coding level of the endpoint, if you detect that the voice sending level is much less than the voice collection level in a long time after volume adjustment, you can further determine that the fault is caused by improper MIC settings.

Figure 1-15 Endpoint volume adjustment counters
Figure 1-16 Counters indicating the voice collection level and voice coding level of the endpoint
P3, The Noise of the Local Participant Is Loud and Cannot Be Heard Clearly by Other Participants

[Determination rule]

During a conference, if the noise of a participant is loud and the voice of the participant cannot be heard clearly by all the other participants but the communication of the other participants is normal, the diagnosis process goes to this branch.

P4, The Noise of the Collected Voice of the Local Participant Is Loud

[Determination rule]

The noise of the collected voice of the local participant is loud. The noise collection level of the endpoint is used for determination. If the noise collection level of the endpoint is close to the threshold, you can determine that the noise of the collected voice is loud.

[Example]

As shown in Figure 1 Counter indicating the voice coding level of the endpoint, noises are lower than 50 dB in normal cases and noises higher than 70 dB interfere chats. You can determine whether the noise of the voice collected by the endpoint is loud based on the noise collection level. Currently, the endpoint reports no noise collection level data. After the endpoint reports the noise collection level, the voice coding level in the following figure is changed to the noise collection level. Then, you can determine the problem cause accordingly.

Figure 1-17 Counter indicating the voice coding level of the endpoint
Translation
Download
Updated: 2019-08-07

Document ID: EDOC1100059098

Views: 19625

Downloads: 12

Average rating:
This Document Applies to these Products
Related Documents
Related Version
Share
Previous Next