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There is a newer version of this package available.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
12.6.0 507 10/6/2025
12.5.0 1,359 8/31/2025
12.4.0 497 8/25/2025
12.3.0 539 8/8/2025
12.2.0 763 7/22/2025
12.1.0 832 6/9/2025
12.0.0 504 5/1/2025
11.4.0 1,224 3/10/2025
11.3.0 6,751 3/3/2025
11.2.0 3,530 12/19/2024
11.1.0 895 10/29/2024
11.0.0 451 10/3/2024
10.7.0 1,366 8/8/2024
10.6.0 363 7/9/2024
10.4.0 466 6/5/2024
10.3.1 399 5/17/2024
10.3.0 253 5/16/2024
10.0.0 1,541 4/5/2024
9.5.0 367 3/27/2024
9.4.4 1,074 3/2/2024
9.4.2 523 2/27/2024
9.4.0 411 2/26/2024
9.4.0-beta1 184 2/23/2024
9.3.0 467 2/19/2024
9.2.0 471 2/6/2024
9.1.0 1,226 12/28/2023
9.0.0 1,190 11/30/2023
9.0.0-beta 658 11/22/2023
9.0.0-alpha 179 11/19/2023
8.33.0 558 12/28/2023
8.32.0 257 11/21/2023
8.30.0 1,229 10/25/2023
8.28.0 1,377 9/21/2023
8.27.2 730 9/18/2023
8.27.1 666 9/18/2023
8.27.0 558 9/14/2023
8.26.0 831 9/1/2023
8.25.0 892 8/28/2023
8.24.0 2,174 7/17/2023
8.23.0 4,069 5/15/2023
8.22.0 4,841 4/3/2023
8.21.0 3,802 1/22/2023
8.20.0 1,320 1/12/2023
8.19.0 3,094 12/12/2022
8.18.0 1,263 12/8/2022
8.17.0 1,295 11/30/2022
8.16.5 1,337 11/26/2022
8.16.3 1,233 11/22/2022
8.16.2 1,254 11/16/2022
8.16.1 1,329 11/14/2022
8.16.0 1,321 11/11/2022
8.15.0 2,828 9/20/2022
8.14.0 1,983 8/24/2022
8.13.0 7,308 8/16/2022
8.12.1-patch1 489 12/28/2023
8.12.0 4,594 6/6/2022
8.9.1 4,563 4/27/2022
8.9.0 1,476 4/27/2022
8.8.0 2,330 4/17/2022
8.7.0 2,693 4/6/2022
8.6.0 2,756 3/23/2022
8.5.1 2,040 2/23/2022
8.5.0 1,554 2/18/2022
8.4.0 1,594 2/8/2022
8.3.0 1,614 1/21/2022
8.2.0 1,807 1/6/2022
8.1.0 1,279 12/28/2021
8.0.0 3,712 12/22/2021
8.0.0-beta4 891 12/21/2021
8.0.0-beta3 995 12/8/2021
8.0.0-beta2 340 12/7/2021
8.0.0-beta 349 12/7/2021
8.0.0-alpha 338 12/6/2021
7.17.0 3,330 11/30/2021
7.16.0 2,402 11/26/2021
7.15.0 3,139 11/9/2021
7.14.0 1,363 11/9/2021
7.13.0 2,030 10/19/2021
7.12.0 1,424 10/13/2021
7.10.0 3,761 6/29/2021
7.9.9 3,060 5/10/2021
7.9.6 1,540 4/30/2021
7.9.4 1,467 4/27/2021
7.9.3 1,503 4/18/2021
7.9.0 24,802 4/5/2021
7.8.1 2,262 3/21/2021
7.8.0 1,376 3/19/2021
7.7.0 662 3/15/2021
7.5.5 2,235 1/25/2021
7.5.2 2,099 1/13/2021
7.4.24 3,219 11/30/2020
7.4.19 2,963 11/6/2020
7.4.13 5,476 8/25/2020
7.4.12 2,561 8/11/2020
7.4.11 1,580 8/4/2020
7.4.10 1,555 7/30/2020
7.4.7 3,308 7/22/2020
7.4.6 1,573 7/20/2020
7.4.1 3,948 6/25/2020
7.4.0 1,716 6/19/2020
7.3.3 3,494 5/12/2020
7.3.2 2,232 5/8/2020
7.3.1 1,599 5/4/2020
7.3.0 1,619 4/25/2020
7.2.0 2,825 3/31/2020
7.2.0-beta3 1,707 3/17/2020
7.2.0-beta2 1,243 3/12/2020
7.2.0-beta 1,374 2/27/2020
7.1.0 2,903 2/3/2020
7.1.0-beta4 1,298 12/11/2019
7.1.0-beta3 1,286 11/11/2019
7.1.0-beta2 683 11/5/2019
7.1.0-beta 1,311 10/23/2019
7.1.0-alpha 587 10/8/2019
7.0.0 5,097 7/1/2019
6.3.0 2,512 5/31/2019
6.2.2 4,700 5/1/2019
6.2.1 2,495 4/5/2019
6.2.1-beta4 691 3/27/2019
6.2.1-beta3 710 3/18/2019
6.2.1-beta2 683 3/17/2019
6.2.1-beta1 685 3/12/2019
6.2.0 2,838 3/4/2019
6.1.1 2,167 2/15/2019
6.1.0 1,025 2/1/2019
6.1.0-beta4 774 1/14/2019
6.1.0-beta3 803 1/10/2019
6.1.0-beta2 855 1/8/2019
6.1.0-beta 789 1/7/2019
6.0.0 2,950 11/6/2018
6.0.0-beta 850 10/30/2018
5.2.3 4,752 9/20/2018
5.2.2 11,726 7/4/2018
5.2.1 2,999 5/10/2018
5.2.0 1,664 4/29/2018
5.1.0 1,723 3/20/2018
5.0.0 1,718 3/13/2018
5.0.0-alpha 1,369 3/12/2018
4.2.1 2,397 3/5/2018
4.2.0 2,095 3/1/2018
4.1.0 2,669 12/5/2017
4.1.0-alpha 1,498 10/27/2017
4.0.0 2,075 10/23/2017
3.2.0 2,385 10/14/2017
3.1.2 2,310 9/16/2017
3.1.0 2,972 12/15/2016
3.0.0 2,420 12/6/2016
3.0.0-beta 1,568 11/29/2016
3.0.0-alpha 1,755 11/23/2016
2.3.3 2,138 11/10/2016
2.3.1 2,374 10/29/2016
2.3.0 1,721 10/28/2016
2.2.0 2,629 2/1/2016
2.1.0 1,574 1/16/2016
2.0.0 2,086 1/15/2016
2.0.0-alpha 1,662 5/16/2015
1.0.1.20018 2,660 6/1/2014
1.0.0.33376 2,643 4/26/2014
0.5.3 2,189 2/3/2014
0.5.2 1,634 1/26/2014
0.5.0.1 3,097 1/12/2014
0.4.2-alpha 1,583 6/16/2013
0.4.1-alpha 1,508 6/15/2013
0.4.0-alpha 1,532 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.