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• How the ffmpeg astats crest factor value of an audio track is calculated

  29 août 2017, par FranGar

  I’m scripting a ffmpeg chain process for my work. The aim is normalizing/compressing lot of audio files (mp3’s).
  It’s done in Python and the critical part is the line :

  ffmpeg -y -i "Input.mp3" -codec:a libmp3lame -b:a 96k -af acompressor=threshold=-15dB:ratio=5:attack=0.01:release=1000:knee=2,dynaudnorm=g=3:m=2:p=0.95 "Output.mp3"

  The python script it’s complete and working BUT the nature of the audios (voice recordings) are very different so I can’t use the same params for all of them.

  I make some experimenting with the values of the ffmpeg filter astats and i discovered that the crest factor (Standard ratio of peak to RMS level ) gave a good reference to programatically get the better params.

  In fact I saw that a recording with a nice dynamic range sound and smooth in shape, get crest values around 9-15 (the compress/normlz params will be somehow conservative). But audios with crest around 22-30 need more aggressive processing.
  (All empirically)

  Somebody can clarify how the crest values are really calculated ? Which are the peaks taken to account ? (Why the flat factor is always 0 ?)
  Or if somebody knows how to get a value representing the sound ’smoothness’ will be nice also.

  Thanks for the ideas.

• How to add dagger in my android studio project

  14 janvier 2016, par Vijay

  I am trying to compress the video using ffmpeg in android. I found one good example and I downloaded the project from https://github.com/WritingMinds/ffmpeg-android-java. It’s working fine. When I try to add that ffmpeg library in my project I am facing error. After make many changes I resolved many issues. But I can not clear the following issue :

  Error:(34, 13) Failed to resolve: com.squareup.dagger:dagger-compiler:1.2.2
  
  
  
  Error:(35, 13) Failed to resolve: com.squareup.dagger:dagger:1.2.2

  I decided to download the dagger.jar and dagger-compiler.jar. I download the jar and I added into my project. But I am facing another error.

  Error:Execution failed for task ':ContainerCentralen:compileDebugJava'.
  
  > java.lang.NoClassDefFoundError: javax/inject/Scope

  I can not solve this two issues. Please let me any idea to resolve this issue.

• Video Processing via Bluetooth

  16 juillet 2012, par kerim yucel

  The application I am currently developing processes each frames using a native code and it should record the video as well. I tried SDK for this purpose but certain restrictions didn't allow me to do so, so I switched to NDK for a video recording code piece.

  Apparently, my algorithm seriously uses CPU, upto %70 percent in the worst case. Before I actually start working on a video recorder, I wanted to try the following approach.

  I will process the preview frames using an android phone and send it to another phone (which uses same application and same model) for recording. My questions are :

  1.Should I try WiFi instead of Bluetooth ? I am developing the application for API 8 so I don't have WiFi-Direct, therefore I should do some socket programming, which would possibly complicate things a bit for me since Bluetooth can easily be set up using SDK.

  2- Will I be available to record the frames as a video at the receiving end ? I will receive each frame with certain metadata embedded to it and should record them using the other phone. I doubt I will be able to do it using SDK, so NDK along with ffmpeg seems to be the best choice ? Any suggestions related to this question will be more than welcome.

  3-Here comes the best part. I am recording the video with the lowest resolution that,after compressed, takes no more than 14mb space for a 10 minute long video. I have to reach the raw frames to send it to other end, encode and compress it. Any ideas related to possible flooding of Bluetooth/Wi-Fi because of big-sized raw frames ?

  Any other approaches and answers will be much appreciated. Thanks.