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There is a newer version of this package available.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
12.1.0 319 6/9/2025
12.0.0 390 5/1/2025
11.4.0 888 3/10/2025
11.3.0 435 3/3/2025
11.2.0 2,321 12/19/2024
11.1.0 793 10/29/2024
11.0.0 355 10/3/2024
10.7.0 927 8/8/2024
10.6.0 285 7/9/2024
10.4.0 361 6/5/2024
10.3.1 309 5/17/2024
10.3.0 165 5/16/2024
10.0.0 1,160 4/5/2024
9.5.0 245 3/27/2024
9.4.4 937 3/2/2024
9.4.2 424 2/27/2024
9.4.0 330 2/26/2024
9.4.0-beta1 130 2/23/2024
9.3.0 376 2/19/2024
9.2.0 396 2/6/2024
9.1.0 1,099 12/28/2023
9.0.0 1,069 11/30/2023
9.0.0-beta 592 11/22/2023
9.0.0-alpha 127 11/19/2023
8.33.0 467 12/28/2023
8.32.0 193 11/21/2023
8.30.0 1,135 10/25/2023
8.28.0 1,281 9/21/2023
8.27.2 657 9/18/2023
8.27.1 594 9/18/2023
8.27.0 499 9/14/2023
8.26.0 734 9/1/2023
8.25.0 810 8/28/2023
8.24.0 2,039 7/17/2023
8.23.0 3,860 5/15/2023
8.22.0 4,487 4/3/2023
8.21.0 3,643 1/22/2023
8.20.0 1,217 1/12/2023
8.19.0 2,940 12/12/2022
8.18.0 1,167 12/8/2022
8.17.0 1,196 11/30/2022
8.16.5 1,232 11/26/2022
8.16.3 1,132 11/22/2022
8.16.2 1,150 11/16/2022
8.16.1 1,232 11/14/2022
8.16.0 1,225 11/11/2022
8.15.0 2,699 9/20/2022
8.14.0 1,871 8/24/2022
8.13.0 7,176 8/16/2022
8.12.1-patch1 422 12/28/2023
8.12.0 4,417 6/6/2022
8.9.1 4,400 4/27/2022
8.9.0 1,370 4/27/2022
8.8.0 2,198 4/17/2022
8.7.0 2,536 4/6/2022
8.6.0 2,633 3/23/2022
8.5.1 1,930 2/23/2022
8.5.0 1,448 2/18/2022
8.4.0 1,484 2/8/2022
8.3.0 1,498 1/21/2022
8.2.0 1,681 1/6/2022
8.1.0 1,170 12/28/2021
8.0.0 3,487 12/22/2021
8.0.0-beta4 786 12/21/2021
8.0.0-beta3 867 12/8/2021
8.0.0-beta2 255 12/7/2021
8.0.0-beta 265 12/7/2021
8.0.0-alpha 262 12/6/2021
7.17.0 3,216 11/30/2021
7.16.0 2,296 11/26/2021
7.15.0 2,968 11/9/2021
7.14.0 1,254 11/9/2021
7.13.0 1,905 10/19/2021
7.12.0 1,323 10/13/2021
7.10.0 3,583 6/29/2021
7.9.9 2,910 5/10/2021
7.9.6 1,435 4/30/2021
7.9.4 1,360 4/27/2021
7.9.3 1,402 4/18/2021
7.9.0 24,444 4/5/2021
7.8.1 2,135 3/21/2021
7.8.0 1,272 3/19/2021
7.7.0 571 3/15/2021
7.5.5 2,112 1/25/2021
7.5.2 1,969 1/13/2021
7.4.24 3,049 11/30/2020
7.4.19 2,726 11/6/2020
7.4.13 5,201 8/25/2020
7.4.12 2,395 8/11/2020
7.4.11 1,458 8/4/2020
7.4.10 1,447 7/30/2020
7.4.7 3,120 7/22/2020
7.4.6 1,451 7/20/2020
7.4.1 3,757 6/25/2020
7.4.0 1,586 6/19/2020
7.3.3 3,320 5/12/2020
7.3.2 2,096 5/8/2020
7.3.1 1,475 5/4/2020
7.3.0 1,498 4/25/2020
7.2.0 2,663 3/31/2020
7.2.0-beta3 1,562 3/17/2020
7.2.0-beta2 1,117 3/12/2020
7.2.0-beta 1,273 2/27/2020
7.1.0 2,693 2/3/2020
7.1.0-beta4 1,179 12/11/2019
7.1.0-beta3 1,145 11/11/2019
7.1.0-beta2 571 11/5/2019
7.1.0-beta 1,190 10/23/2019
7.1.0-alpha 491 10/8/2019
7.0.0 4,908 7/1/2019
6.3.0 2,355 5/31/2019
6.2.2 4,475 5/1/2019
6.2.1 2,323 4/5/2019
6.2.1-beta4 593 3/27/2019
6.2.1-beta3 588 3/18/2019
6.2.1-beta2 595 3/17/2019
6.2.1-beta1 584 3/12/2019
6.2.0 2,675 3/4/2019
6.1.1 2,012 2/15/2019
6.1.0 943 2/1/2019
6.1.0-beta4 682 1/14/2019
6.1.0-beta3 694 1/10/2019
6.1.0-beta2 755 1/8/2019
6.1.0-beta 698 1/7/2019
6.0.0 2,810 11/6/2018
6.0.0-beta 755 10/30/2018
5.2.3 4,462 9/20/2018
5.2.2 11,067 7/4/2018
5.2.1 2,741 5/10/2018
5.2.0 1,467 4/29/2018
5.1.0 1,521 3/20/2018
5.0.0 1,436 3/13/2018
5.0.0-alpha 1,165 3/12/2018
4.2.1 2,147 3/5/2018
4.2.0 1,879 3/1/2018
4.1.0 2,385 12/5/2017
4.1.0-alpha 1,280 10/27/2017
4.0.0 1,841 10/23/2017
3.2.0 2,101 10/14/2017
3.1.2 2,086 9/16/2017
3.1.0 2,724 12/15/2016
3.0.0 2,174 12/6/2016
3.0.0-beta 1,355 11/29/2016
3.0.0-alpha 1,501 11/23/2016
2.3.3 1,940 11/10/2016
2.3.1 2,074 10/29/2016
2.3.0 1,545 10/28/2016
2.2.0 2,371 2/1/2016
2.1.0 1,408 1/16/2016
2.0.0 1,866 1/15/2016
2.0.0-alpha 1,464 5/16/2015
1.0.1.20018 2,404 6/1/2014
1.0.0.33376 2,423 4/26/2014
0.5.3 1,978 2/3/2014
0.5.2 1,469 1/26/2014
0.5.0.1 2,782 1/12/2014
0.4.2-alpha 1,408 6/16/2013
0.4.1-alpha 1,339 6/15/2013
0.4.0-alpha 1,363 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