# Audio classification

The **gst-ai-audio-classification** application shows audio classification using input from either a file source or a microphone. It displays both the classification results and a video preview.

The following figure shows the pipeline, which gets the input from a file or a microphone, preprocesses it, and runs inferences on AI hardware. The results are displayed on the screen.

For information about the plugins used in the pipeline flow, see [Pipeline flow](https://docs.qualcomm.com/doc/80-70030-50/topic/audio-classification.html#section-fdn-fmz-n2c).

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</svg>
**Figure : gst-ai-audio-classification pipeline**

## Sample model and label files

Table : Sample model and label files for gst-ai-audio-classification

| Runtime | Model files | Label files |
| --- | --- | --- |
| LiteRT | *yamnet.tflite* | *yamnet.json* |

## Run the application on the target device

The sample application uses the `/etc/configs/config-audio-classification.json` file to read the input parameters.

To create your own config JSON file, use [config-audio-classification.json](https://git.codelinaro.org/clo/le/platform/vendor/qcom-opensource/gst-plugins-qti-oss/-/blob/imsdk.lnx.2.0.0.r2-rel/gst-sample-apps/gst-ai-audio-classification/config-audio-classification.json?ref_type=heads) as a reference.

1. Ensure that you complete the [Prerequisites](https://docs.qualcomm.com/doc/80-70030-50/topic/download-model-and-label-files.html).
2. Update the config JSON file based on the model, input stream, and other properties. For more information, see [Config JSON field description](https://docs.qualcomm.com/doc/80-70030-50/topic/gst-ai-classification.html#section-lcw-2zj-32c).
3. Use the following format of the `config-audio-classification.json` file.

{
          "file-path": "<path to video file>",
          "model": "<path to model file>",
          "labels": "<path to label file>",
          "threshold": <integer between 1 and 100>,
          "runtime": "<cpu or gpu>",
          "codec": "<mp3 or flac>"
        }
        Copy to clipboard

    For example, run the application using input from a file, MP3 encoding, and GPU runtime:

{
        "file-path": "/etc/media/video-mp3.mp4",
        "model": "/etc/models/yamnet.tflite",
        "labels": "/etc/labels/yamnet.json",
        "runtime": "cpu",
        "threshold": 20,
        "codec": "mp3"
        }
        Copy to clipboard
4. Run the gst-ai-audio-classification application:

gst-ai-audio-classification --config-file=/etc/configs/config-audio-classification.json
        Copy to clipboard
5. To display the available help options, run the following command in the SSH shell:

gst-ai-audio-classification -h
        Copy to clipboard
6. To stop the use case, use **CTRL + C**.

## Expected output

The output video and classified audio are played on the screen.

![../../_images/expected-output-gst-ai-audio-classification.png](data:image/png;base64,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)

**Figure : Expected output for gst-ai-audio-classification**

## Pipeline flow

The following table lists the plugins used in the audio classification pipeline:

| Plugin | Description |
| --- | --- |
| File source: filesrc | <ul class="simple"><br><li><p>Captures the video stream using filesrc, followed by qtdemux, which demultiplexes the stream.</p></li><br><li><p>Uses tee to split the stream for inferencing.</p></li><br></ul> |
| h264parse | Parses the H.264 video. |
| [v4l2h264dec](https://docs.qualcomm.com/doc/80-70030-50/topic/v4l2h264dec.html) | Decodes the video. |
| mpegaudioparse or flacparse | Parses the audio (MP3 or FLAC). |
| mpg123audiodec or flacdec | Decodes the audio (MP3 or FLAC). |
| audioconvert | Converts the audio buffers between various possible formats. |
| audioresample | Resamples the audio buffers to different sample rates. |
| [pulsesrc](https://docs.qualcomm.com/doc/80-70030-50/topic/pulsesrc.html) | Reads the audio from the microphone. |
| audiobuffersplit | Splits the incoming audio buffers into equal sized chunks. |
| [qtimlaconverter](https://docs.qualcomm.com/doc/80-70030-50/topic/qtimlaconverter.html) | Performs preprocessing on the audio stream and converts the stream to a tensor stream.<br><br><br>The audio classification model uses this tensor stream for inferencing. |
| [qtimltflite](https://docs.qualcomm.com/doc/80-70030-50/topic/qtimltflite.html) | Performs inferencing using the YAMNet model. |
| [qtimlpostprocess](https://docs.qualcomm.com/doc/80-70030-50/topic/qtimlpostprocess.html) | Uses yamnet module to handle the audio classification inference results:<br><ol class="arabic simple"><br><li><p>Applies a threshold to the chosen number of results.</p></li><br><li><p>Creates text overlay for classes.</p></li><br></ol> |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70030-50/topic/qtivcomposer.html) | Combines the text overlay for classification results and video preview. |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70030-50/topic/waylandsink.html) | <ol class="arabic simple"><br><li><p>Waylandsink submits the video stream received on its sink pad to Weston.</p></li><br><li><p>Weston renders the video stream on a local display.</p></li><br></ol> |

## Config JSON field description

The different parameters available to configure the JSON file and run the use case are as follows:

| Field | Values/description |
| --- | --- |
| **runtime** | Use one of the following runtimes:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">cpu</span></code></p></li><br><li><p><code class="docutils literal notranslate"><span class="pre">gpu</span></code></p></li><br></ul> |
| **Input source** | Use one of the following input sources:<br><ul class="simple"><br><li><p><code class="docutils literal notranslate"><span class="pre">file-path</span></code>: The directory path to the video file.</p></li><br><li><p>Microphone</p></li><br></ul> |
| **threshold=&lt;integer&gt;** | Use any integer between 1 and 100. |
| **codec** | The audio codec of input video:<br><ul class="simple"><br><li><p>MP3 (default)</p></li><br><li><p>FLAC</p></li><br></ul> |

## Related information

[Audio classification decode and display with LiteRT](https://docs.qualcomm.com/doc/80-70030-50/topic/audio-classification-with-litert.html)

Last Published: Oct 06, 2026

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