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There is a newer version of this package available.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


                            Install as a Cake Addin
                        

                    

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


                            Install 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

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
14.0.0 353 1/12/2026
13.0.0 1,330 11/25/2025
12.8.0 533 11/13/2025
12.7.0 601 10/23/2025
12.6.0 723 10/6/2025
12.5.0 1,732 8/31/2025
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12.3.0 663 8/8/2025
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12.1.0 891 6/9/2025
12.0.0 586 5/1/2025
11.4.0 1,346 3/10/2025
11.3.0 6,801 3/3/2025
11.2.0 4,638 12/19/2024
11.1.0 977 10/29/2024
11.0.0 500 10/3/2024
10.7.0 1,524 8/8/2024
10.6.0 411 7/9/2024
10.4.0 523 6/5/2024
10.3.1 439 5/17/2024
10.3.0 297 5/16/2024
10.0.0 2,354 4/5/2024
9.5.0 433 3/27/2024
9.4.4 1,151 3/2/2024
9.4.2 576 2/27/2024
9.4.0 476 2/26/2024
9.4.0-beta1 211 2/23/2024
9.3.0 514 2/19/2024
9.2.0 519 2/6/2024
9.1.0 1,279 12/28/2023
9.0.0 1,322 11/30/2023
9.0.0-beta 690 11/22/2023
9.0.0-alpha 212 11/19/2023
8.33.0 608 12/28/2023
8.32.0 299 11/21/2023
8.30.0 1,263 10/25/2023
8.28.0 1,412 9/21/2023
8.27.2 760 9/18/2023
8.27.1 708 9/18/2023
8.27.0 590 9/14/2023
8.26.0 864 9/1/2023
8.25.0 920 8/28/2023
8.24.0 2,208 7/17/2023
8.23.0 4,118 5/15/2023
8.22.0 4,899 4/3/2023
8.21.0 3,852 1/22/2023
8.20.0 1,383 1/12/2023
8.19.0 3,142 12/12/2022
8.18.0 1,313 12/8/2022
8.17.0 1,352 11/30/2022
8.16.5 1,384 11/26/2022
8.16.3 1,275 11/22/2022
8.16.2 1,297 11/16/2022
8.16.1 1,379 11/14/2022
8.16.0 1,363 11/11/2022
8.15.0 2,873 9/20/2022
8.14.0 2,045 8/24/2022
8.13.0 7,364 8/16/2022
8.12.1-patch1 524 12/28/2023
8.12.0 4,656 6/6/2022
8.9.1 4,612 4/27/2022
8.9.0 1,524 4/27/2022
8.8.0 2,386 4/17/2022
8.7.0 2,769 4/6/2022
8.6.0 2,814 3/23/2022
8.5.1 2,103 2/23/2022
8.5.0 1,604 2/18/2022
8.4.0 1,649 2/8/2022
8.3.0 1,666 1/21/2022
8.2.0 1,858 1/6/2022
8.1.0 1,329 12/28/2021
8.0.0 3,838 12/22/2021
8.0.0-beta4 940 12/21/2021
8.0.0-beta3 1,056 12/8/2021
8.0.0-beta2 390 12/7/2021
8.0.0-beta 410 12/7/2021
8.0.0-alpha 397 12/6/2021
7.17.0 3,380 11/30/2021
7.16.0 2,457 11/26/2021
7.15.0 3,204 11/9/2021
7.14.0 1,419 11/9/2021
7.13.0 2,084 10/19/2021
7.12.0 1,484 10/13/2021
7.10.0 3,815 6/29/2021
7.9.9 3,120 5/10/2021
7.9.6 1,588 4/30/2021
7.9.4 1,515 4/27/2021
7.9.3 1,570 4/18/2021
7.9.0 24,884 4/5/2021
7.8.1 2,323 3/21/2021
7.8.0 1,429 3/19/2021
7.7.0 722 3/15/2021
7.5.5 2,304 1/25/2021
7.5.2 2,164 1/13/2021
7.4.24 3,289 11/30/2020
7.4.19 3,067 11/6/2020
7.4.13 5,551 8/25/2020
7.4.12 2,631 8/11/2020
7.4.11 1,644 8/4/2020
7.4.10 1,614 7/30/2020
7.4.7 3,358 7/22/2020
7.4.6 1,639 7/20/2020
7.4.1 4,000 6/25/2020
7.4.0 1,775 6/19/2020
7.3.3 3,558 5/12/2020
7.3.2 2,289 5/8/2020
7.3.1 1,660 5/4/2020
7.3.0 1,678 4/25/2020
7.2.0 2,882 3/31/2020
7.2.0-beta3 1,768 3/17/2020
7.2.0-beta2 1,302 3/12/2020
7.2.0-beta 1,439 2/27/2020
7.1.0 2,966 2/3/2020
7.1.0-beta4 1,363 12/11/2019
7.1.0-beta3 1,349 11/11/2019
7.1.0-beta2 739 11/5/2019
7.1.0-beta 1,369 10/23/2019
7.1.0-alpha 649 10/8/2019
7.0.0 5,209 7/1/2019
6.3.0 2,570 5/31/2019
6.2.2 4,758 5/1/2019
6.2.1 2,557 4/5/2019
6.2.1-beta4 754 3/27/2019
6.2.1-beta3 769 3/18/2019
6.2.1-beta2 743 3/17/2019
6.2.1-beta1 750 3/12/2019
6.2.0 2,900 3/4/2019
6.1.1 2,235 2/15/2019
6.1.0 1,093 2/1/2019
6.1.0-beta4 836 1/14/2019
6.1.0-beta3 861 1/10/2019
6.1.0-beta2 914 1/8/2019
6.1.0-beta 850 1/7/2019
6.0.0 3,019 11/6/2018
6.0.0-beta 913 10/30/2018
5.2.3 4,825 9/20/2018
5.2.2 11,982 7/4/2018
5.2.1 3,137 5/10/2018
5.2.0 1,800 4/29/2018
5.1.0 1,870 3/20/2018
5.0.0 1,848 3/13/2018
5.0.0-alpha 1,514 3/12/2018
4.2.1 2,538 3/5/2018
4.2.0 2,199 3/1/2018
4.1.0 2,818 12/5/2017
4.1.0-alpha 1,644 10/27/2017
4.0.0 2,203 10/23/2017
3.2.0 2,534 10/14/2017
3.1.2 2,445 9/16/2017
3.1.0 3,105 12/15/2016
3.0.0 2,562 12/6/2016
3.0.0-beta 1,662 11/29/2016
3.0.0-alpha 1,896 11/23/2016
2.3.3 2,238 11/10/2016
2.3.1 2,549 10/29/2016
2.3.0 1,834 10/28/2016
2.2.0 2,814 2/1/2016
2.1.0 1,684 1/16/2016
2.0.0 2,241 1/15/2016
2.0.0-alpha 1,819 5/16/2015
1.0.1.20018 2,836 6/1/2014
1.0.0.33376 2,789 4/26/2014
0.5.3 2,341 2/3/2014
0.5.2 1,742 1/26/2014
0.5.0.1 3,265 1/12/2014
0.4.2-alpha 1,687 6/16/2013
0.4.1-alpha 1,617 6/15/2013
0.4.0-alpha 1,634 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