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There is a newer version of this package available.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
12.1.0 322 6/9/2025
12.0.0 392 5/1/2025
11.4.0 889 3/10/2025
11.3.0 435 3/3/2025
11.2.0 2,330 12/19/2024
11.1.0 793 10/29/2024
11.0.0 356 10/3/2024
10.7.0 931 8/8/2024
10.6.0 285 7/9/2024
10.4.0 363 6/5/2024
10.3.1 311 5/17/2024
10.3.0 168 5/16/2024
10.0.0 1,164 4/5/2024
9.5.0 245 3/27/2024
9.4.4 941 3/2/2024
9.4.2 428 2/27/2024
9.4.0 331 2/26/2024
9.4.0-beta1 133 2/23/2024
9.3.0 376 2/19/2024
9.2.0 400 2/6/2024
9.1.0 1,103 12/28/2023
9.0.0 1,070 11/30/2023
9.0.0-beta 592 11/22/2023
9.0.0-alpha 129 11/19/2023
8.33.0 472 12/28/2023
8.32.0 193 11/21/2023
8.30.0 1,136 10/25/2023
8.28.0 1,282 9/21/2023
8.27.2 658 9/18/2023
8.27.1 594 9/18/2023
8.27.0 499 9/14/2023
8.26.0 737 9/1/2023
8.25.0 812 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 1,218 1/12/2023
8.19.0 2,940 12/12/2022
8.18.0 1,167 12/8/2022
8.17.0 1,197 11/30/2022
8.16.5 1,233 11/26/2022
8.16.3 1,132 11/22/2022
8.16.2 1,152 11/16/2022
8.16.1 1,234 11/14/2022
8.16.0 1,227 11/11/2022
8.15.0 2,699 9/20/2022
8.14.0 1,872 8/24/2022
8.13.0 7,176 8/16/2022
8.12.1-patch1 423 12/28/2023
8.12.0 4,417 6/6/2022
8.9.1 4,400 4/27/2022
8.9.0 1,371 4/27/2022
8.8.0 2,198 4/17/2022
8.7.0 2,537 4/6/2022
8.6.0 2,636 3/23/2022
8.5.1 1,933 2/23/2022
8.5.0 1,448 2/18/2022
8.4.0 1,486 2/8/2022
8.3.0 1,498 1/21/2022
8.2.0 1,683 1/6/2022
8.1.0 1,170 12/28/2021
8.0.0 3,489 12/22/2021
8.0.0-beta4 787 12/21/2021
8.0.0-beta3 871 12/8/2021
8.0.0-beta2 255 12/7/2021
8.0.0-beta 265 12/7/2021
8.0.0-alpha 263 12/6/2021
7.17.0 3,217 11/30/2021
7.16.0 2,297 11/26/2021
7.15.0 2,972 11/9/2021
7.14.0 1,259 11/9/2021
7.13.0 1,907 10/19/2021
7.12.0 1,325 10/13/2021
7.10.0 3,587 6/29/2021
7.9.9 2,911 5/10/2021
7.9.6 1,435 4/30/2021
7.9.4 1,360 4/27/2021
7.9.3 1,403 4/18/2021
7.9.0 24,448 4/5/2021
7.8.1 2,135 3/21/2021
7.8.0 1,272 3/19/2021
7.7.0 573 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 5,202 8/25/2020
7.4.12 2,395 8/11/2020
7.4.11 1,463 8/4/2020
7.4.10 1,448 7/30/2020
7.4.7 3,121 7/22/2020
7.4.6 1,455 7/20/2020
7.4.1 3,758 6/25/2020
7.4.0 1,588 6/19/2020
7.3.3 3,321 5/12/2020
7.3.2 2,098 5/8/2020
7.3.1 1,476 5/4/2020
7.3.0 1,499 4/25/2020
7.2.0 2,663 3/31/2020
7.2.0-beta3 1,565 3/17/2020
7.2.0-beta2 1,119 3/12/2020
7.2.0-beta 1,274 2/27/2020
7.1.0 2,694 2/3/2020
7.1.0-beta4 1,180 12/11/2019
7.1.0-beta3 1,145 11/11/2019
7.1.0-beta2 571 11/5/2019
7.1.0-beta 1,194 10/23/2019
7.1.0-alpha 497 10/8/2019
7.0.0 4,909 7/1/2019
6.3.0 2,357 5/31/2019
6.2.2 4,475 5/1/2019
6.2.1 2,324 4/5/2019
6.2.1-beta4 595 3/27/2019
6.2.1-beta3 589 3/18/2019
6.2.1-beta2 595 3/17/2019
6.2.1-beta1 585 3/12/2019
6.2.0 2,676 3/4/2019
6.1.1 2,013 2/15/2019
6.1.0 943 2/1/2019
6.1.0-beta4 682 1/14/2019
6.1.0-beta3 697 1/10/2019
6.1.0-beta2 755 1/8/2019
6.1.0-beta 699 1/7/2019
6.0.0 2,810 11/6/2018
6.0.0-beta 757 10/30/2018
5.2.3 4,468 9/20/2018
5.2.2 11,070 7/4/2018
5.2.1 2,750 5/10/2018
5.2.0 1,473 4/29/2018
5.1.0 1,529 3/20/2018
5.0.0 1,443 3/13/2018
5.0.0-alpha 1,173 3/12/2018
4.2.1 2,153 3/5/2018
4.2.0 1,884 3/1/2018
4.1.0 2,395 12/5/2017
4.1.0-alpha 1,288 10/27/2017
4.0.0 1,847 10/23/2017
3.2.0 2,108 10/14/2017
3.1.2 2,093 9/16/2017
3.1.0 2,730 12/15/2016
3.0.0 2,181 12/6/2016
3.0.0-beta 1,359 11/29/2016
3.0.0-alpha 1,511 11/23/2016
2.3.3 1,943 11/10/2016
2.3.1 2,086 10/29/2016
2.3.0 1,550 10/28/2016
2.2.0 2,382 2/1/2016
2.1.0 1,418 1/16/2016
2.0.0 1,873 1/15/2016
2.0.0-alpha 1,471 5/16/2015
1.0.1.20018 2,412 6/1/2014
1.0.0.33376 2,429 4/26/2014
0.5.3 1,986 2/3/2014
0.5.2 1,475 1/26/2014
0.5.0.1 2,788 1/12/2014
0.4.2-alpha 1,413 6/16/2013
0.4.1-alpha 1,342 6/15/2013
0.4.0-alpha 1,367 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