I have some python code to embed onto a rapsberry pi and respeaker as a demo
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Description
Experience Level: Intermediate
I have had compiled 390mb of code that does the following: tracks people's voices in a room for stress
The steps of the work can be summerised as follows:
1. For each data as it can be a mixture of multiple voice and noise (various people talking or noise such as music or TV noise), source separation has been done based on non-negative matrix factorisation and considering convolutive mixtures (it is a technique if you need more details please let me know).
2. after separating the sources, person identification has been done to find the patient and also his/her visitors/carers. This is done by extracting several discriminating features from the audio signal and classify it based on what we have in the database.
3. Detecting talking and hearing time and also emotion detection by extracting features and use them to calculate the emotion level.
4. save results in a format that can be used later.
Can you embed this?
The steps of the work can be summerised as follows:
1. For each data as it can be a mixture of multiple voice and noise (various people talking or noise such as music or TV noise), source separation has been done based on non-negative matrix factorisation and considering convolutive mixtures (it is a technique if you need more details please let me know).
2. after separating the sources, person identification has been done to find the patient and also his/her visitors/carers. This is done by extracting several discriminating features from the audio signal and classify it based on what we have in the database.
3. Detecting talking and hearing time and also emotion detection by extracting features and use them to calculate the emotion level.
4. save results in a format that can be used later.
Can you embed this?
Quinton R.
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