audio-fingerprint-identifying-python | similar app , that identify the song using audio fingerprints | Speech library
kandi X-RAY | audio-fingerprint-identifying-python Summary
kandi X-RAY | audio-fingerprint-identifying-python Summary
audio-fingerprint-identifying-python is a Python library typically used in Artificial Intelligence, Speech applications. audio-fingerprint-identifying-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
The Shazam-similar app, that identify the song using audio fingerprints & spectrum analysis and Fast Fourier transform
The Shazam-similar app, that identify the song using audio fingerprints & spectrum analysis and Fast Fourier transform
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Quality
Security
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audio-fingerprint-identifying-python has a low active ecosystem.
It has 302 star(s) with 146 fork(s). There are 13 watchers for this library.
It had no major release in the last 6 months.
There are 14 open issues and 9 have been closed. On average issues are closed in 106 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of audio-fingerprint-identifying-python is current.
Quality
audio-fingerprint-identifying-python has 0 bugs and 0 code smells.
Security
audio-fingerprint-identifying-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
audio-fingerprint-identifying-python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
audio-fingerprint-identifying-python is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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audio-fingerprint-identifying-python releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
audio-fingerprint-identifying-python saves you 288 person hours of effort in developing the same functionality from scratch.
It has 696 lines of code, 56 functions and 19 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed audio-fingerprint-identifying-python and discovered the below as its top functions. This is intended to give you an instant insight into audio-fingerprint-identifying-python implemented functionality, and help decide if they suit your requirements.
- Add song to database
- Build the SELECT query
- Get song by file hash
- Execute a single query
- Execute a query
- Connect to the database
- Get the configuration
- Parse config file
- Merge multiple configs
- Store fingerprints
- Insert multiple rows into a table
- Returns all matching values
- Execute a query against the database
- Parse the audio file
- Compute the sha1 hash of the file
- Insert a document into the database
- Connect to the database
- Get the number of song hashes for a song
- Get song by id
Get all kandi verified functions for this library.
audio-fingerprint-identifying-python Key Features
No Key Features are available at this moment for audio-fingerprint-identifying-python.
audio-fingerprint-identifying-python Examples and Code Snippets
No Code Snippets are available at this moment for audio-fingerprint-identifying-python.
Community Discussions
Trending Discussions on audio-fingerprint-identifying-python
QUESTION
TypeError: Unicode-objects must be encoded before hashing in Hashlib Function [SOLVED]
Asked 2020-Apr-19 at 00:00
I have checked out all of the other solutions to the same problem on stackoverflow and also tried them, but nothing seemed to work. I am simply posting links here instead of the code as the code is huge and it would be less interactive.
Link to the repository : https://github.com/executable16/audio-fingerprint-identifying-python
However specifically the error is at line no. 2 here :
...ANSWER
Answered 2020-Apr-18 at 22:29Maybe try encoding within the hashlib command:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install audio-fingerprint-identifying-python
You can download it from GitHub.
You can use audio-fingerprint-identifying-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use audio-fingerprint-identifying-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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