SoundFingerprinting 4.1.0-alpha

.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
This is a prerelease version of SoundFingerprinting.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package SoundFingerprinting --version 4.1.0-alpha
                    


                    

                
NuGet\Install-Package SoundFingerprinting -Version 4.1.0-alpha
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="SoundFingerprinting" Version="4.1.0-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="SoundFingerprinting" Version="4.1.0-alpha" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="SoundFingerprinting" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add SoundFingerprinting --version 4.1.0-alpha
                    


                    

                
#r "nuget: SoundFingerprinting, 4.1.0-alpha"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package SoundFingerprinting@4.1.0-alpha
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease
                    


                            Install as a Cake Tool

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.

Product Compatible and additional computed target framework versions.
.NET Framework net35 is compatible.  net40 is compatible.  net403 was computed.  net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (7)

Showing the top 5 NuGet packages that depend on SoundFingerprinting:

Package Downloads
SoundFingerprinting.Emy

SoundFingerprinting.Emy is a native C# client for Emy fingerprints storage. It provides ways to insert, query, delete entries from Emy. To learn more about SoundFingerprinting visit github page https://github.com/AddictedCS/soundfingerprinting. To learn more about Emy visit https://www.emysound.com
SoundFingerprinting.Audio.Bass

Un4seen.Bass extension library for SoundFingerprinting framework. SoundFingerprinting default library is designed to read only raw wave files. This extension provides the ability to read all files supported by Bass (including .mp3, .flac, .ogg). Un4seen.Bass is free for non-comercial use. If you intend to use this extension for commercial purposes, please contact http://www.un4seen.com for licensing
SoundFingerprinting.Audio.NAudio

NAudio extension library for SoundFingerprinting framework. This extension provides the ability to read all files supported by NAudio media foundation framework. Since NAudio depends on Windows native calls, this extension can execute only in Windows environment.
SoundFingerprinting.Solr

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.
SoundFingerprinting.SQL

SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on SoundFingerprinting:

Repository Stars
cjmanca/plex-credits-detect
Augments plex's built in intro detection, additionally detecting credits.
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11.1.0 987 10/29/2024
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10.7.0 1,529 8/8/2024
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9.4.0-beta1 211 2/23/2024
9.3.0 519 2/19/2024
9.2.0 525 2/6/2024
9.1.0 1,284 12/28/2023
9.0.0 1,328 11/30/2023
9.0.0-beta 691 11/22/2023
9.0.0-alpha 213 11/19/2023
8.33.0 615 12/28/2023
8.32.0 304 11/21/2023
8.30.0 1,263 10/25/2023
8.28.0 1,413 9/21/2023
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8.20.0 1,383 1/12/2023
8.19.0 3,147 12/12/2022
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8.17.0 1,356 11/30/2022
8.16.5 1,385 11/26/2022
8.16.3 1,276 11/22/2022
8.16.2 1,298 11/16/2022
8.16.1 1,380 11/14/2022
8.16.0 1,363 11/11/2022
8.15.0 2,874 9/20/2022
8.14.0 2,047 8/24/2022
8.13.0 7,364 8/16/2022
8.12.1-patch1 524 12/28/2023
8.12.0 4,658 6/6/2022
8.9.1 4,612 4/27/2022
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8.8.0 2,387 4/17/2022
8.7.0 2,771 4/6/2022
8.6.0 2,814 3/23/2022
8.5.1 2,105 2/23/2022
8.5.0 1,605 2/18/2022
8.4.0 1,651 2/8/2022
8.3.0 1,666 1/21/2022
8.2.0 1,859 1/6/2022
8.1.0 1,329 12/28/2021
8.0.0 3,841 12/22/2021
8.0.0-beta4 942 12/21/2021
8.0.0-beta3 1,057 12/8/2021
8.0.0-beta2 393 12/7/2021
8.0.0-beta 411 12/7/2021
8.0.0-alpha 398 12/6/2021
7.17.0 3,380 11/30/2021
7.16.0 2,458 11/26/2021
7.15.0 3,204 11/9/2021
7.14.0 1,419 11/9/2021
7.13.0 2,085 10/19/2021
7.12.0 1,486 10/13/2021
7.10.0 3,819 6/29/2021
7.9.9 3,121 5/10/2021
7.9.6 1,588 4/30/2021
7.9.4 1,515 4/27/2021
7.9.3 1,571 4/18/2021
7.9.0 24,885 4/5/2021
7.8.1 2,325 3/21/2021
7.8.0 1,431 3/19/2021
7.7.0 724 3/15/2021
7.5.5 2,309 1/25/2021
7.5.2 2,165 1/13/2021
7.4.24 3,291 11/30/2020
7.4.19 3,071 11/6/2020
7.4.13 5,552 8/25/2020
7.4.12 2,634 8/11/2020
7.4.11 1,647 8/4/2020
7.4.10 1,615 7/30/2020
7.4.7 3,362 7/22/2020
7.4.6 1,641 7/20/2020
7.4.1 4,002 6/25/2020
7.4.0 1,776 6/19/2020
7.3.3 3,560 5/12/2020
7.3.2 2,292 5/8/2020
7.3.1 1,662 5/4/2020
7.3.0 1,680 4/25/2020
7.2.0 2,885 3/31/2020
7.2.0-beta3 1,769 3/17/2020
7.2.0-beta2 1,304 3/12/2020
7.2.0-beta 1,444 2/27/2020
7.1.0 2,969 2/3/2020
7.1.0-beta4 1,365 12/11/2019
7.1.0-beta3 1,350 11/11/2019
7.1.0-beta2 741 11/5/2019
7.1.0-beta 1,370 10/23/2019
7.1.0-alpha 652 10/8/2019
7.0.0 5,211 7/1/2019
6.3.0 2,572 5/31/2019
6.2.2 4,759 5/1/2019
6.2.1 2,560 4/5/2019
6.2.1-beta4 757 3/27/2019
6.2.1-beta3 771 3/18/2019
6.2.1-beta2 744 3/17/2019
6.2.1-beta1 752 3/12/2019
6.2.0 2,901 3/4/2019
6.1.1 2,235 2/15/2019
6.1.0 1,094 2/1/2019
6.1.0-beta4 836 1/14/2019
6.1.0-beta3 863 1/10/2019
6.1.0-beta2 915 1/8/2019
6.1.0-beta 851 1/7/2019
6.0.0 3,020 11/6/2018
6.0.0-beta 913 10/30/2018
5.2.3 4,825 9/20/2018
5.2.2 11,984 7/4/2018
5.2.1 3,138 5/10/2018
5.2.0 1,801 4/29/2018
5.1.0 1,870 3/20/2018
5.0.0 1,850 3/13/2018
5.0.0-alpha 1,514 3/12/2018
4.2.1 2,538 3/5/2018
4.2.0 2,199 3/1/2018
4.1.0 2,819 12/5/2017
4.1.0-alpha 1,646 10/27/2017
4.0.0 2,203 10/23/2017
3.2.0 2,536 10/14/2017
3.1.2 2,447 9/16/2017
3.1.0 3,105 12/15/2016
3.0.0 2,562 12/6/2016
3.0.0-beta 1,662 11/29/2016
3.0.0-alpha 1,897 11/23/2016
2.3.3 2,238 11/10/2016
2.3.1 2,549 10/29/2016
2.3.0 1,836 10/28/2016
2.2.0 2,815 2/1/2016
2.1.0 1,686 1/16/2016
2.0.0 2,242 1/15/2016
2.0.0-alpha 1,820 5/16/2015
1.0.1.20018 2,837 6/1/2014
1.0.0.33376 2,790 4/26/2014
0.5.3 2,341 2/3/2014
0.5.2 1,742 1/26/2014
0.5.0.1 3,265 1/12/2014
0.4.2-alpha 1,687 6/16/2013
0.4.1-alpha 1,619 6/15/2013
0.4.0-alpha 1,634 6/14/2013

Version 4.1.0-alpha comes with new experimental permutations which should solve the problem of high hash collisions across fingerprints.

Version 4.0.0 comes with a list of improvements. New Haar wavelet transformation normalization factor is now set-up as the default one. It yields better recall and accuracy. Re-index fingerprints if you are migrating from v3.x. Most important update in v4 is an improved fingerprinting speed (2 mins of audio are fingerprinted in ~300 ms), with a lot fever bytes used throughout the process.   

Similarly to v3.2.0  the InMemoryModelService can now be serialized to file system, and reloaded on application startup (useful for scenarios when you don't want to add external data storages). QueryResult now contains Stats information about number of candidates analyzed during query, as well as segregated query duration information: QueryDuration and FingerprintingDuration. Fingerprinting and Query configurations are simplified with various profiles available for choise: LowLatency, Default and HighPrecision configurations. Choose one that corresponds to your scenario. Check Solr datasource for a fast persistent storage for fingerprints https://github.com/AddictedCS/soundfingerprinting.solr