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There is a newer version of this package available.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. 
#addin nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease
                    


                            Install SoundFingerprinting as a Cake Addin
                        

                    

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


                            Install SoundFingerprinting 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.
Version Downloads Last updated
12.0.0 316 5/1/2025
11.4.0 869 3/10/2025
11.3.0 413 3/3/2025
11.2.0 2,075 12/19/2024
11.1.0 783 10/29/2024
11.0.0 349 10/3/2024
10.7.0 871 8/8/2024
10.6.0 277 7/9/2024
10.4.0 354 6/5/2024
10.3.1 302 5/17/2024
10.3.0 159 5/16/2024
10.0.0 1,042 4/5/2024
9.5.0 237 3/27/2024
9.4.4 926 3/2/2024
9.4.2 418 2/27/2024
9.4.0 326 2/26/2024
9.4.0-beta1 126 2/23/2024
9.3.0 371 2/19/2024
9.2.0 392 2/6/2024
9.1.0 1,095 12/28/2023
9.0.0 1,057 11/30/2023
9.0.0-beta 590 11/22/2023
9.0.0-alpha 125 11/19/2023
8.33.0 463 12/28/2023
8.32.0 186 11/21/2023
8.30.0 1,132 10/25/2023
8.28.0 1,279 9/21/2023
8.27.2 653 9/18/2023
8.27.1 592 9/18/2023
8.27.0 495 9/14/2023
8.26.0 728 9/1/2023
8.25.0 806 8/28/2023
8.24.0 2,034 7/17/2023
8.23.0 3,858 5/15/2023
8.22.0 4,413 4/3/2023
8.21.0 3,640 1/22/2023
8.20.0 1,214 1/12/2023
8.19.0 2,937 12/12/2022
8.18.0 1,166 12/8/2022
8.17.0 1,195 11/30/2022
8.16.5 1,230 11/26/2022
8.16.3 1,130 11/22/2022
8.16.2 1,147 11/16/2022
8.16.1 1,226 11/14/2022
8.16.0 1,221 11/11/2022
8.15.0 2,698 9/20/2022
8.14.0 1,862 8/24/2022
8.13.0 7,161 8/16/2022
8.12.1-patch1 421 12/28/2023
8.12.0 4,412 6/6/2022
8.9.1 4,392 4/27/2022
8.9.0 1,364 4/27/2022
8.8.0 2,190 4/17/2022
8.7.0 2,526 4/6/2022
8.6.0 2,624 3/23/2022
8.5.1 1,923 2/23/2022
8.5.0 1,441 2/18/2022
8.4.0 1,474 2/8/2022
8.3.0 1,489 1/21/2022
8.2.0 1,668 1/6/2022
8.1.0 1,163 12/28/2021
8.0.0 3,463 12/22/2021
8.0.0-beta4 780 12/21/2021
8.0.0-beta3 856 12/8/2021
8.0.0-beta2 248 12/7/2021
8.0.0-beta 258 12/7/2021
8.0.0-alpha 257 12/6/2021
7.17.0 3,209 11/30/2021
7.16.0 2,288 11/26/2021
7.15.0 2,962 11/9/2021
7.14.0 1,246 11/9/2021
7.13.0 1,899 10/19/2021
7.12.0 1,317 10/13/2021
7.10.0 3,572 6/29/2021
7.9.9 2,901 5/10/2021
7.9.6 1,425 4/30/2021
7.9.4 1,349 4/27/2021
7.9.3 1,391 4/18/2021
7.9.0 24,413 4/5/2021
7.8.1 2,126 3/21/2021
7.8.0 1,264 3/19/2021
7.7.0 562 3/15/2021
7.5.5 2,106 1/25/2021
7.5.2 1,961 1/13/2021
7.4.24 3,043 11/30/2020
7.4.19 2,710 11/6/2020
7.4.13 5,188 8/25/2020
7.4.12 2,386 8/11/2020
7.4.11 1,450 8/4/2020
7.4.10 1,438 7/30/2020
7.4.7 3,110 7/22/2020
7.4.6 1,445 7/20/2020
7.4.1 3,750 6/25/2020
7.4.0 1,580 6/19/2020
7.3.3 3,306 5/12/2020
7.3.2 2,083 5/8/2020
7.3.1 1,457 5/4/2020
7.3.0 1,487 4/25/2020
7.2.0 2,652 3/31/2020
7.2.0-beta3 1,548 3/17/2020
7.2.0-beta2 1,104 3/12/2020
7.2.0-beta 1,261 2/27/2020
7.1.0 2,681 2/3/2020
7.1.0-beta4 1,162 12/11/2019
7.1.0-beta3 1,133 11/11/2019
7.1.0-beta2 556 11/5/2019
7.1.0-beta 1,175 10/23/2019
7.1.0-alpha 476 10/8/2019
7.0.0 4,892 7/1/2019
6.3.0 2,340 5/31/2019
6.2.2 4,458 5/1/2019
6.2.1 2,304 4/5/2019
6.2.1-beta4 581 3/27/2019
6.2.1-beta3 573 3/18/2019
6.2.1-beta2 581 3/17/2019
6.2.1-beta1 569 3/12/2019
6.2.0 2,662 3/4/2019
6.1.1 2,001 2/15/2019
6.1.0 932 2/1/2019
6.1.0-beta4 664 1/14/2019
6.1.0-beta3 679 1/10/2019
6.1.0-beta2 742 1/8/2019
6.1.0-beta 687 1/7/2019
6.0.0 2,793 11/6/2018
6.0.0-beta 733 10/30/2018
5.2.3 4,443 9/20/2018
5.2.2 11,010 7/4/2018
5.2.1 2,700 5/10/2018
5.2.0 1,428 4/29/2018
5.1.0 1,474 3/20/2018
5.0.0 1,396 3/13/2018
5.0.0-alpha 1,125 3/12/2018
4.2.1 2,106 3/5/2018
4.2.0 1,851 3/1/2018
4.1.0 2,343 12/5/2017
4.1.0-alpha 1,236 10/27/2017
4.0.0 1,798 10/23/2017
3.2.0 2,054 10/14/2017
3.1.2 2,045 9/16/2017
3.1.0 2,673 12/15/2016
3.0.0 2,130 12/6/2016
3.0.0-beta 1,329 11/29/2016
3.0.0-alpha 1,458 11/23/2016
2.3.3 1,911 11/10/2016
2.3.1 2,017 10/29/2016
2.3.0 1,512 10/28/2016
2.2.0 2,304 2/1/2016
2.1.0 1,379 1/16/2016
2.0.0 1,824 1/15/2016
2.0.0-alpha 1,421 5/16/2015
1.0.1.20018 2,344 6/1/2014
1.0.0.33376 2,375 4/26/2014
0.5.3 1,924 2/3/2014
0.5.2 1,440 1/26/2014
0.5.0.1 2,732 1/12/2014
0.4.2-alpha 1,375 6/16/2013
0.4.1-alpha 1,310 6/15/2013
0.4.0-alpha 1,337 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