Extract audio features for deep learning and analysis
AudioFlux is a library that helps you analyze audio and music to pull out important features like frequencies and patterns. It's useful for tasks like building machine learning models, recognizing music trends, or processing signals in fields like bioinformatics. This makes it easier for developers and researchers to work with sound data without starting from scratch.
Generate visual representations of audio frequency data
Apply various audio signal transformations for detailed analysis
Extract key audio features for machine learning applications
Perform music information retrieval tasks like pattern recognition
Visualize audio data and analysis results for better insights
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Recent data shows that AudioFlux has 1.4K monthly visits (70.7% increase from the previous month), 37.0% bounce rate, and average 2.09 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 1 countries worldwide, led by United States contributing 100% of total traffic. SEO performance is shown by 5 tracked keywords, with "stft" being the top-performing keyword with 4.2K monthly searches. See below for more info.
Monthly Visits
1.4K
Pages per Visit
2.09
Bounce Rate
37.0%
Average Time on Site
51s
| SEO Keyword | Volume | CPC |
|---|---|---|
| stft | 4.2K | - |
| audio flux | 360 | - |
| flux audio | 280 | - |
| spectral flux | 280 | $2.20 |
| spectral flux vs centroid | 230 | - |
| Source | Traffic Share |
|---|---|
| Direct | 41% |
| Search | 29% |
| Social | 7% |
| Referrals | 23% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 100% |
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