Audio Detection Sample (gst-launch command line)

This sample demonstrates how to construct an audio event detection pipeline using the command-line utilitygst-launch-1.0.

How It Works

gst-launch-1.0 is a command-line utility included with the popular GStreamer media framework. It makes the construction and execution of media pipelines easy based on a simple and intuitive string format. Pipelines are represented as strings containing the names of GStreamer elements separated by exclamation marks !. Users can specify properties of an element using property=value pairs after an element name and before the next exclamation mark.

This sample builds a GStreamer pipeline using the following elements

  • filesrc or urisourcebin
  • decodebin for audio decoding
  • audioresample, audioconvert and audiomixer for converting and resizing audio input
  • gvaaudiodetect for audio event detection using ACLNet
  • gvametaconvert for converting ACLNet detection results into JSON for further processing and display
  • gvametapublish for printing detection results to stdout
  • fakesink for terminating the pipeline


This sample uses the ACLNet model trained for audio event detection and made available through the Open Model Zoo. For more details see here.

  • aclnet_des_53_fp32.onnx is end-to-end convolutional neural network architecture for audio classification

NOTE: Before running this sample you'll need to download and prepare the model. Execute once to download and prepare models for all audio samples.

Model Proc

Along with the model network and weights, gvaudiodetect uses an additional model-proc json file that describes how to prepare the input for the model and interpret its output.

model-proc is a JSON file that describes the output layer name and label mapping (Cat, Dog, Baby Crying) for the output of the model. For each possible output of the model (specified using a zero based index) you can set a label and output specific threshold Check Here.



Where [INPUT_PATH] can be:

  • local audio file ('./')
  • network source (ex URL starting with http://)

By default, if no [INPUT_PATH] is specified, the sample uses a local file how_are_you_doing.wav (utilizing filesrc element).

Sample Output

The sample

  • prints full gst-launch-1.0 command to the console
  • starts the command and outputs audio detection results to the console