I want to perform 4 main steps on audio recording dataset (I will send you zip file which contain 97 files under 10 classes):
1- Applying Short-term Fourier transfer (STFT) for each recording.
2- Segmentation using Harma method.
3- Extract features from audio files:
- Zero crossing rate (ZCR)
- Short-time energy (STE)
- Spectral centroid
- Spectral flux
4- Use k-NN classifier
5- Compare accuracy of classification between features of following categories :
6- Compare execution time between (features extraction step) based on category :
7- Results will be shown in table and figure( see attached file)
I need it within 3-4 days
22 freelancers are bidding on average $242 for this job
------------professional in DSP----------- hi, i am expert in DSP. i am very interested in your project. i have much experience in this field. if you want to get good result,please contact to me. Thanks
Hello, dear I am expert in DSP processing using matlab. I have a lot of experiences in many sound analysis and classification projects using KNN classification. I will help you well. Best regards.
Hello this is an Engineer and MATLAB programmer having 5+ years of experience would like to do this project for you will provide the work on time with 100% accuracy