ailia.audio samples

Use ailia.audio to perform MelSpectrum conversion of the input audio. Then classify the sound categories with the crnn model.

Requirements

ailia SDK 1.2.11 and later
Unity 2019.4.36f1 and later

Unity API

Document

ailia.audio C API

Setup

Clone this repository and open the project in unity.

git clone git@github.com:axinc-ai/ailia-audio-samples.git

This repository does not include ailia libraries. So you must get SDK and license.

Download ailia SDK trial version

Import ailia and ailia.audio libraries to plugin folder using copy_libraries.sh.

chmod +x copy_libraries.sh
./copy_libraries.sh

Place license file here.

- For Windows
 - Place ailia.lic in Assets/Plugins/x86_64/
- For Mac
 - Place ailia.lic in ~/Library/SHALO/

Run

You can run it by opening the sample scene (unity/Assets/AiliaAudioSampleScene.unity) and pressing Run. The inference result is displayed on the console.

C++ API

Document

ailia.audio C API

Setup

Copy ailia and ailia.audio libraries to cpp folder.

Make

Make with the following command.

cd cpp
export OSTYPE=Mac
make

Run

Execute with the following command.

./crnn_audio_classification

The inference result is displayed on the console.

input shape 176 128 1 1 dims 4
output shape 10 1 1 1 dims 2
predict result
dog_bark 0.868386

Python API

Document

ailia.audio Python API

Setup

Please clone ailia-models repository.

crnn_audio_classification

Run

Execute with the following command.

python3 crnn_audio_classification.py --ailia_audio

The inference result is displayed on the console.

 INFO crnn_audio_classification.py (91) : input: 24965__www-bonson-ca__bigdogbarking-02.wav
 INFO crnn_audio_classification.py (98) : Start inference...
 INFO crnn_audio_classification.py (109) : dog_bark
 INFO crnn_audio_classification.py (110) : 0.8681702017784119
 INFO crnn_audio_classification.py (112) : Script finished successfully.