SoundFingerprinting 5.0.0-alpha

.NET Core 2.0 This package targets .NET Core 2.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. .NET Framework 4.5 This package targets .NET Framework 4.5. 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There is a newer version of this package available.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 5.0.0-alpha
                    


                    

                
NuGet\Install-Package SoundFingerprinting -Version 5.0.0-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="5.0.0-alpha" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="SoundFingerprinting" Version="5.0.0-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 5.0.0-alpha
                    


                    

                
#r "nuget: SoundFingerprinting, 5.0.0-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@5.0.0-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=5.0.0-alpha&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=SoundFingerprinting&version=5.0.0-alpha&prerelease
                    


                            Install as a Cake Tool

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.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp2.0 is compatible.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework 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. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos 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
12.5.0 1,011 8/31/2025
12.4.0 447 8/25/2025
12.3.0 512 8/8/2025
12.2.0 712 7/22/2025
12.1.0 768 6/9/2025
12.0.0 477 5/1/2025
11.4.0 1,120 3/10/2025
11.3.0 6,717 3/3/2025
11.2.0 3,370 12/19/2024
11.1.0 869 10/29/2024
11.0.0 417 10/3/2024
10.7.0 1,311 8/8/2024
10.6.0 348 7/9/2024
10.4.0 439 6/5/2024
10.3.1 385 5/17/2024
10.3.0 236 5/16/2024
10.0.0 1,455 4/5/2024
9.5.0 333 3/27/2024
9.4.4 1,014 3/2/2024
9.4.2 489 2/27/2024
9.4.0 378 2/26/2024
9.4.0-beta1 169 2/23/2024
9.3.0 453 2/19/2024
9.2.0 449 2/6/2024
9.1.0 1,201 12/28/2023
9.0.0 1,130 11/30/2023
9.0.0-beta 625 11/22/2023
9.0.0-alpha 165 11/19/2023
8.33.0 521 12/28/2023
8.32.0 241 11/21/2023
8.30.0 1,185 10/25/2023
8.28.0 1,352 9/21/2023
8.27.2 708 9/18/2023
8.27.1 633 9/18/2023
8.27.0 544 9/14/2023
8.26.0 805 9/1/2023
8.25.0 880 8/28/2023
8.24.0 2,133 7/17/2023
8.23.0 3,995 5/15/2023
8.22.0 4,802 4/3/2023
8.21.0 3,775 1/22/2023
8.20.0 1,305 1/12/2023
8.19.0 3,028 12/12/2022
8.18.0 1,238 12/8/2022
8.17.0 1,280 11/30/2022
8.16.5 1,303 11/26/2022
8.16.3 1,217 11/22/2022
8.16.2 1,221 11/16/2022
8.16.1 1,315 11/14/2022
8.16.0 1,295 11/11/2022
8.15.0 2,789 9/20/2022
8.14.0 1,955 8/24/2022
8.13.0 7,272 8/16/2022
8.12.1-patch1 478 12/28/2023
8.12.0 4,546 6/6/2022
8.9.1 4,494 4/27/2022
8.9.0 1,447 4/27/2022
8.8.0 2,304 4/17/2022
8.7.0 2,657 4/6/2022
8.6.0 2,723 3/23/2022
8.5.1 2,017 2/23/2022
8.5.0 1,519 2/18/2022
8.4.0 1,564 2/8/2022
8.3.0 1,594 1/21/2022
8.2.0 1,781 1/6/2022
8.1.0 1,247 12/28/2021
8.0.0 3,672 12/22/2021
8.0.0-beta4 866 12/21/2021
8.0.0-beta3 959 12/8/2021
8.0.0-beta2 325 12/7/2021
8.0.0-beta 332 12/7/2021
8.0.0-alpha 319 12/6/2021
7.17.0 3,303 11/30/2021
7.16.0 2,385 11/26/2021
7.15.0 3,103 11/9/2021
7.14.0 1,338 11/9/2021
7.13.0 2,015 10/19/2021
7.12.0 1,398 10/13/2021
7.10.0 3,702 6/29/2021
7.9.9 2,998 5/10/2021
7.9.6 1,519 4/30/2021
7.9.4 1,431 4/27/2021
7.9.3 1,475 4/18/2021
7.9.0 24,768 4/5/2021
7.8.1 2,225 3/21/2021
7.8.0 1,358 3/19/2021
7.7.0 642 3/15/2021
7.5.5 2,199 1/25/2021
7.5.2 2,060 1/13/2021
7.4.24 3,171 11/30/2020
7.4.19 2,861 11/6/2020
7.4.13 5,412 8/25/2020
7.4.12 2,516 8/11/2020
7.4.11 1,549 8/4/2020
7.4.10 1,526 7/30/2020
7.4.7 3,241 7/22/2020
7.4.6 1,543 7/20/2020
7.4.1 3,895 6/25/2020
7.4.0 1,695 6/19/2020
7.3.3 3,444 5/12/2020
7.3.2 2,202 5/8/2020
7.3.1 1,571 5/4/2020
7.3.0 1,591 4/25/2020
7.2.0 2,783 3/31/2020
7.2.0-beta3 1,666 3/17/2020
7.2.0-beta2 1,213 3/12/2020
7.2.0-beta 1,348 2/27/2020
7.1.0 2,808 2/3/2020
7.1.0-beta4 1,270 12/11/2019
7.1.0-beta3 1,236 11/11/2019
7.1.0-beta2 655 11/5/2019
7.1.0-beta 1,262 10/23/2019
7.1.0-alpha 569 10/8/2019
7.0.0 5,045 7/1/2019
6.3.0 2,473 5/31/2019
6.2.2 4,614 5/1/2019
6.2.1 2,431 4/5/2019
6.2.1-beta4 671 3/27/2019
6.2.1-beta3 673 3/18/2019
6.2.1-beta2 664 3/17/2019
6.2.1-beta1 667 3/12/2019
6.2.0 2,792 3/4/2019
6.1.1 2,122 2/15/2019
6.1.0 1,006 2/1/2019
6.1.0-beta4 755 1/14/2019
6.1.0-beta3 780 1/10/2019
6.1.0-beta2 830 1/8/2019
6.1.0-beta 767 1/7/2019
6.0.0 2,912 11/6/2018
6.0.0-beta 830 10/30/2018
5.2.3 4,597 9/20/2018
5.2.2 11,597 7/4/2018
5.2.1 2,935 5/10/2018
5.2.0 1,633 4/29/2018
5.1.0 1,696 3/20/2018
5.0.0 1,691 3/13/2018
5.0.0-alpha 1,341 3/12/2018
4.2.1 2,352 3/5/2018
4.2.0 2,058 3/1/2018
4.1.0 2,621 12/5/2017
4.1.0-alpha 1,469 10/27/2017
4.0.0 2,044 10/23/2017
3.2.0 2,330 10/14/2017
3.1.2 2,277 9/16/2017
3.1.0 2,926 12/15/2016
3.0.0 2,382 12/6/2016
3.0.0-beta 1,522 11/29/2016
3.0.0-alpha 1,706 11/23/2016
2.3.3 2,104 11/10/2016
2.3.1 2,319 10/29/2016
2.3.0 1,685 10/28/2016
2.2.0 2,596 2/1/2016
2.1.0 1,551 1/16/2016
2.0.0 2,048 1/15/2016
2.0.0-alpha 1,635 5/16/2015
1.0.1.20018 2,631 6/1/2014
1.0.0.33376 2,614 4/26/2014
0.5.3 2,162 2/3/2014
0.5.2 1,606 1/26/2014
0.5.0.1 3,058 1/12/2014
0.4.2-alpha 1,556 6/16/2013
0.4.1-alpha 1,480 6/15/2013
0.4.0-alpha 1,505 6/14/2013

Version 5.0.0 supports .NET Standard 2.0 as well as .NET Core apps. Default audio service is now SoundFingerprintingAudioService that supports only raw wave files in the input. If you want to process mp3 or flac files please use SoundFingerprinting extension packages with NAudio or Bass.
4.2.1 comes with a bugfix related to fingerprints serialization.
In 4.2.0 FFT is running on arrays allocated on the stack rather than on RAM, yielding to faster fingerprinting. Version 4.1.0 comes without Ninject dependency. Fingerprints signature has changed to Int32[] instead of Int64[], which allows better memory management. MaxEntropyPermutations are now used as default permutations for locality sensitive hashing.
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 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 the number of candidates analyzed during the query, as well as segregated query duration information: QueryDuration and FingerprintingDuration. Fingerprinting and Query configurations are simplified with various profiles available for choice: LowLatency, Default and HighPrecision configurations. Choose one that corresponds to your scenario. Check Solr data source for fast persistent storage for fingerprints https://github.com/AddictedCS/soundfingerprinting.solr.
Contact ciumac.sergiu@gmail.com for early access to specially designed fingerprinting storage that outperforms Solr.