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
Bu iş için 22 freelancer ortalamada $242 teklif veriyor
Hi. I am good in Matlab and have an experience in using it for sound manipulation and classifications - so I think I will be able to do this. Regards.
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being an engineer i believe i can do the job in better way.
I have an MSEE specializing in DSP (time series, Speech, RF Modeling), and Image processing. I do my work in MATLAB.
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
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I am Data scientist with 1+ year of experience in predictive modelling, data analytics, data visualisation. I have done post graduation in Digital Signal Processing and have experience in handling audio and image datas Daha Fazla
I am very good with audio signal processing. would be able to get your project to completion.