SoundFingerprinting 2.0.0-alpha

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There is a newer version of this package available.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 2.0.0-alpha
                    
NuGet\Install-Package SoundFingerprinting -Version 2.0.0-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="2.0.0-alpha" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="SoundFingerprinting" Version="2.0.0-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 2.0.0-alpha
                    
#r "nuget: SoundFingerprinting, 2.0.0-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@2.0.0-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=2.0.0-alpha&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=SoundFingerprinting&version=2.0.0-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 (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
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12.0.0 505 5/1/2025
11.4.0 1,224 3/10/2025
11.3.0 6,751 3/3/2025
11.2.0 3,557 12/19/2024
11.1.0 896 10/29/2024
11.0.0 452 10/3/2024
10.7.0 1,366 8/8/2024
10.6.0 364 7/9/2024
10.4.0 468 6/5/2024
10.3.1 400 5/17/2024
10.3.0 254 5/16/2024
10.0.0 1,550 4/5/2024
9.5.0 368 3/27/2024
9.4.4 1,077 3/2/2024
9.4.2 524 2/27/2024
9.4.0 413 2/26/2024
9.4.0-beta1 185 2/23/2024
9.3.0 468 2/19/2024
9.2.0 472 2/6/2024
9.1.0 1,228 12/28/2023
9.0.0 1,192 11/30/2023
9.0.0-beta 659 11/22/2023
9.0.0-alpha 181 11/19/2023
8.33.0 559 12/28/2023
8.32.0 259 11/21/2023
8.30.0 1,230 10/25/2023
8.28.0 1,378 9/21/2023
8.27.2 731 9/18/2023
8.27.1 667 9/18/2023
8.27.0 559 9/14/2023
8.26.0 832 9/1/2023
8.25.0 893 8/28/2023
8.24.0 2,175 7/17/2023
8.23.0 4,070 5/15/2023
8.22.0 4,842 4/3/2023
8.21.0 3,803 1/22/2023
8.20.0 1,321 1/12/2023
8.19.0 3,095 12/12/2022
8.18.0 1,264 12/8/2022
8.17.0 1,297 11/30/2022
8.16.5 1,338 11/26/2022
8.16.3 1,234 11/22/2022
8.16.2 1,255 11/16/2022
8.16.1 1,330 11/14/2022
8.16.0 1,322 11/11/2022
8.15.0 2,829 9/20/2022
8.14.0 1,985 8/24/2022
8.13.0 7,309 8/16/2022
8.12.1-patch1 490 12/28/2023
8.12.0 4,595 6/6/2022
8.9.1 4,566 4/27/2022
8.9.0 1,479 4/27/2022
8.8.0 2,333 4/17/2022
8.7.0 2,697 4/6/2022
8.6.0 2,760 3/23/2022
8.5.1 2,043 2/23/2022
8.5.0 1,557 2/18/2022
8.4.0 1,597 2/8/2022
8.3.0 1,617 1/21/2022
8.2.0 1,811 1/6/2022
8.1.0 1,281 12/28/2021
8.0.0 3,716 12/22/2021
8.0.0-beta4 894 12/21/2021
8.0.0-beta3 1,000 12/8/2021
8.0.0-beta2 343 12/7/2021
8.0.0-beta 353 12/7/2021
8.0.0-alpha 342 12/6/2021
7.17.0 3,333 11/30/2021
7.16.0 2,405 11/26/2021
7.15.0 3,142 11/9/2021
7.14.0 1,366 11/9/2021
7.13.0 2,033 10/19/2021
7.12.0 1,427 10/13/2021
7.10.0 3,764 6/29/2021
7.9.9 3,063 5/10/2021
7.9.6 1,542 4/30/2021
7.9.4 1,470 4/27/2021
7.9.3 1,506 4/18/2021
7.9.0 24,811 4/5/2021
7.8.1 2,264 3/21/2021
7.8.0 1,378 3/19/2021
7.7.0 665 3/15/2021
7.5.5 2,238 1/25/2021
7.5.2 2,101 1/13/2021
7.4.24 3,222 11/30/2020
7.4.19 2,965 11/6/2020
7.4.13 5,476 8/25/2020
7.4.12 2,562 8/11/2020
7.4.11 1,581 8/4/2020
7.4.10 1,555 7/30/2020
7.4.7 3,308 7/22/2020
7.4.6 1,574 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 1,600 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 1,313 10/23/2019
7.1.0-alpha 587 10/8/2019
7.0.0 5,098 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 684 3/17/2019
6.2.1-beta1 686 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 2,951 11/6/2018
6.0.0-beta 851 10/30/2018
5.2.3 4,753 9/20/2018
5.2.2 11,735 7/4/2018
5.2.1 3,000 5/10/2018
5.2.0 1,664 4/29/2018
5.1.0 1,725 3/20/2018
5.0.0 1,718 3/13/2018
5.0.0-alpha 1,370 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 1,756 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 2,630 2/1/2016
2.1.0 1,574 1/16/2016
2.0.0 2,087 1/15/2016
2.0.0-alpha 1,663 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

Major changes in published modules. SoundFingerprinting project has been changed to represent a more granular approach on published modules (as well as project structures). Aside of mentioned structure major change, in terms of the functional improvements, additional query method is implemented to return time-sequence location from the discovered track. Its now possible to detect time location using QueryWithTimeSequenceInformation on both QueryService as well as QueryCommand objects. NAudio will no longer be published as a separate module, rather it will be the default audio service published with SoundFingerprinting libraries. Interfaces for query/fingerprint have changed as well, in order to not bother the user with too many query parameters passed during fingerprinting/querying. Previous interface definitions will no longer be supported.