My research is related to content filtering on the Internet. Curectly, the aria of reserch is related to audio content. To implement the method (content filtering for audio content), it's necessary to datermita the age of the speaker. Can anybody advice existing algoritms for solving this problem?
Some papers include algorithms. Article Age Recognition from Voice
You should read some journal article from this link:
Article Age Recognition from Voice
You can use Deep Learning. for that you have to collect a lot of data to get a good accuracy. if you are interested learn about Tensor-Flow and apply that on your collected data
The link provided in previous answers is to a study of the capability of human listeners to distinguish between two groups of speakers : under 35 and over 65.
There have been papers relevant to your question (Minematsu, Muller and Burkhardt, Metze, Dobry) and they have shown 90+ percent accuracies using standard speech processing mechanisms (MFCC features, GMM classifier).
Yes, you can always throw tons of data at a deep neural network, but unless your interest is in proving that DNNs can learn anything, you don't learn anything from that exercise.
Y(J)S
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