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There is a newer version of this package available.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. 
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. 
// Install SoundFingerprinting as a Cake Addin
#addin nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease

// Install SoundFingerprinting as a Cake Tool
#tool nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease

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 (2)

Showing the top 2 popular GitHub repositories that depend on SoundFingerprinting:

Repository Stars
AddictedCS/soundfingerprinting
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
cjmanca/plex-credits-detect
Augments plex's built in intro detection, additionally detecting credits.
Version Downloads Last updated
11.1.0 373 10/29/2024
11.0.0 322 10/3/2024
10.7.0 694 8/8/2024
10.6.0 258 7/9/2024
10.4.0 329 6/5/2024
10.3.1 271 5/17/2024
10.3.0 139 5/16/2024
10.0.0 835 4/5/2024
9.5.0 216 3/27/2024
9.4.4 860 3/2/2024
9.4.2 402 2/27/2024
9.4.0 310 2/26/2024
9.4.0-beta1 115 2/23/2024
9.3.0 350 2/19/2024
9.2.0 379 2/6/2024
9.1.0 1,035 12/28/2023
9.0.0 1,026 11/30/2023
9.0.0-beta 580 11/22/2023
9.0.0-alpha 117 11/19/2023
8.33.0 446 12/28/2023
8.32.0 170 11/21/2023
8.30.0 1,119 10/25/2023
8.28.0 1,268 9/21/2023
8.27.2 642 9/18/2023
8.27.1 581 9/18/2023
8.27.0 482 9/14/2023
8.26.0 707 9/1/2023
8.25.0 791 8/28/2023
8.24.0 2,016 7/17/2023
8.23.0 3,785 5/15/2023
8.22.0 3,952 4/3/2023
8.21.0 3,611 1/22/2023
8.20.0 1,188 1/12/2023
8.19.0 2,909 12/12/2022
8.18.0 1,138 12/8/2022
8.17.0 1,166 11/30/2022
8.16.5 1,181 11/26/2022
8.16.3 1,101 11/22/2022
8.16.2 1,118 11/16/2022
8.16.1 1,199 11/14/2022
8.16.0 1,179 11/11/2022
8.15.0 2,663 9/20/2022
8.14.0 1,813 8/24/2022
8.13.0 6,118 8/16/2022
8.12.1-patch1 413 12/28/2023
8.12.0 4,356 6/6/2022
8.9.1 4,357 4/27/2022
8.9.0 1,326 4/27/2022
8.8.0 2,150 4/17/2022
8.7.0 2,443 4/6/2022
8.6.0 2,584 3/23/2022
8.5.1 1,876 2/23/2022
8.5.0 1,392 2/18/2022
8.4.0 1,435 2/8/2022
8.3.0 1,436 1/21/2022
8.2.0 1,626 1/6/2022
8.1.0 1,118 12/28/2021
8.0.0 2,777 12/22/2021
8.0.0-beta4 744 12/21/2021
8.0.0-beta3 818 12/8/2021
8.0.0-beta2 210 12/7/2021
8.0.0-beta 221 12/7/2021
8.0.0-alpha 220 12/6/2021
7.17.0 3,160 11/30/2021
7.16.0 2,246 11/26/2021
7.15.0 2,920 11/9/2021
7.14.0 1,201 11/9/2021
7.13.0 1,854 10/19/2021
7.12.0 1,270 10/13/2021
7.10.0 3,508 6/29/2021
7.9.9 2,856 5/10/2021
7.9.6 1,371 4/30/2021
7.9.4 1,301 4/27/2021
7.9.3 1,341 4/18/2021
7.9.0 24,335 4/5/2021
7.8.1 2,073 3/21/2021
7.8.0 1,216 3/19/2021
7.7.0 515 3/15/2021
7.5.5 2,056 1/25/2021
7.5.2 1,909 1/13/2021
7.4.24 2,992 11/30/2020
7.4.19 2,581 11/6/2020
7.4.13 5,015 8/25/2020
7.4.12 2,333 8/11/2020
7.4.11 1,398 8/4/2020
7.4.10 1,386 7/30/2020
7.4.7 3,059 7/22/2020
7.4.6 1,391 7/20/2020
7.4.1 3,696 6/25/2020
7.4.0 1,528 6/19/2020
7.3.3 3,213 5/12/2020
7.3.2 2,029 5/8/2020
7.3.1 1,404 5/4/2020
7.3.0 1,432 4/25/2020
7.2.0 2,600 3/31/2020
7.2.0-beta3 1,499 3/17/2020
7.2.0-beta2 1,056 3/12/2020
7.2.0-beta 1,213 2/27/2020
7.1.0 2,626 2/3/2020
7.1.0-beta4 1,111 12/11/2019
7.1.0-beta3 1,083 11/11/2019
7.1.0-beta2 506 11/5/2019
7.1.0-beta 1,124 10/23/2019
7.1.0-alpha 423 10/8/2019
7.0.0 4,301 7/1/2019
6.3.0 2,220 5/31/2019
6.2.2 4,403 5/1/2019
6.2.1 2,213 4/5/2019
6.2.1-beta4 529 3/27/2019
6.2.1-beta3 520 3/18/2019
6.2.1-beta2 530 3/17/2019
6.2.1-beta1 517 3/12/2019
6.2.0 2,605 3/4/2019
6.1.1 1,943 2/15/2019
6.1.0 874 2/1/2019
6.1.0-beta4 603 1/14/2019
6.1.0-beta3 627 1/10/2019
6.1.0-beta2 689 1/8/2019
6.1.0-beta 635 1/7/2019
6.0.0 2,719 11/6/2018
6.0.0-beta 667 10/30/2018
5.2.3 4,367 9/20/2018
5.2.2 10,415 7/4/2018
5.2.1 2,508 5/10/2018
5.2.0 1,243 4/29/2018
5.1.0 1,288 3/20/2018
5.0.0 1,210 3/13/2018
5.0.0-alpha 950 3/12/2018
4.2.1 1,921 3/5/2018
4.2.0 1,728 3/1/2018
4.1.0 2,148 12/5/2017
4.1.0-alpha 1,050 10/27/2017
4.0.0 1,604 10/23/2017
3.2.0 1,864 10/14/2017
3.1.2 1,854 9/16/2017
3.1.0 2,475 12/15/2016
3.0.0 1,928 12/6/2016
3.0.0-beta 1,208 11/29/2016
3.0.0-alpha 1,268 11/23/2016
2.3.3 1,775 11/10/2016
2.3.1 1,762 10/29/2016
2.3.0 1,381 10/28/2016
2.2.0 2,040 2/1/2016
2.1.0 1,242 1/16/2016
2.0.0 1,621 1/15/2016
2.0.0-alpha 1,218 5/16/2015
1.0.1.20018 2,117 6/1/2014
1.0.0.33376 2,156 4/26/2014
0.5.3 1,705 2/3/2014
0.5.2 1,298 1/26/2014
0.5.0.1 2,515 1/12/2014
0.4.2-alpha 1,238 6/16/2013
0.4.1-alpha 1,167 6/15/2013
0.4.0-alpha 1,200 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