Estimating arousal, valence, age, gender, big 5 personality traits from audio
10K+
RESTful webservice developed by Hesam Sagha, Chair of Intelligent and Complex Systems, University of Passau, Germany. Open source code and more info at https://github.com/MixedEmotions/up_emotions_audio
To run this module run: docker run -it --rm -p 8888:8080 audioanalysis
where: getdims: desired dimensions separated by comma (arousal,valence,age,gender,big5O,big5C,big5E,big5A,big5N) url: the url of the video/audio or the name of the uploaded file timing: start and end of the segments (in seconds). start1,end1;start2,end2
To upload an audio/video file use curl: Windows: curl -v -H "Content-Type:multipart/form-data" --user meuser -i -X POST -F "file=@D:\path\to\sample.wav" http://localhost:8888/er/aer/upload Linux: curl -v -H "Content-Type:multipart/form-data" --user meuser -i -X POST -F 'file=@./sample.wav' http://localhost:8888/er/aer/upload
Moreover, this repository handles the fusion of audio and video outputs.
Run this command to fuse the results of audio and video outpus:
wget "localhost:8080/er/general/fuse?video=cat json_video_plain.txt&audio=cat json_audio_plain.txt"
In which the files should have the following entities.
Note: keep ':time=start,end' in the "@id" section.
See http://localhost:8888/er/general for more information
Licenses:
In case of using this module, please cite the following papers:
Content type
Image
Digest
Size
472.1 MB
Last updated
about 10 years ago
docker pull mixedemotions/06_audioanalysis_up