Dear EARs is an audio analysis framework currently containing DFT, CQT, MFCC, and the Auditory Spectrogram Transform implementations.
1 maintainer
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1 maintainer
Release files for dear 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dear-0.1.3.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dear-0.1.3-py2.7.egg | Legacy Egg format | - | - | Details |
Total release size: 51.6 kB
Release files / dear-0.1.3.tar.gz
| Download URL | dear-0.1.3.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
4b4787af1ba919060398690be40fdb199c01f06737e14376b3ceeff582eeca29
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BLAKE2b-256 checksum How to use checksums |
0bda92287f687fe69fb0f15b6f33dc6ea5619c6ca5e5a46b91e4ac33f6ea4475
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / dear-0.1.3-py2.7.egg
| Download URL | dear-0.1.3-py2.7.egg |
|---|---|
| Size | 39.8 kB |
| Tags | Egg |
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SHA-256 checksum How to use checksums |
259cb1f617b6854e166e7a8aee5880a05b57961528b00e36faafa7e9ef734f5d
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BLAKE2b-256 checksum How to use checksums |
e00c9a1772d09dfde2622b89aa312dc4f3b3a7e617d995064834e90bdb714f22
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
