SoundFingerprinting 4.0.0

.NET Framework 3.5 This package targets .NET Framework 3.5. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package SoundFingerprinting --version 4.0.0
                    


                    

                
NuGet\Install-Package SoundFingerprinting -Version 4.0.0
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="4.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="SoundFingerprinting" Version="4.0.0" />
                    


                            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 4.0.0
                    


                    

                
#r "nuget: SoundFingerprinting, 4.0.0"
#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. 
#addin nuget:?package=SoundFingerprinting&version=4.0.0
                    


                            Install SoundFingerprinting as a Cake Addin
                        

                    

                
#tool nuget:?package=SoundFingerprinting&version=4.0.0
                    


                            Install SoundFingerprinting 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
11.4.0 599 a month ago
11.3.0 402 a month ago
11.2.0 1,712 4 months ago
11.1.0 770 6 months ago
11.0.0 345 6 months ago
10.7.0 862 8 months ago
10.6.0 275 9 months ago
10.4.0 350 6/5/2024
10.3.1 299 5/17/2024
10.3.0 157 5/16/2024
10.0.0 962 4/5/2024
9.5.0 233 3/27/2024
9.4.4 915 3/2/2024
9.4.2 416 2/27/2024
9.4.0 322 2/26/2024
9.4.0-beta1 125 2/23/2024
9.3.0 369 2/19/2024
9.2.0 391 2/6/2024
9.1.0 1,088 12/28/2023
9.0.0 1,045 11/30/2023
9.0.0-beta 589 11/22/2023
9.0.0-alpha 124 11/19/2023
8.33.0 458 12/28/2023
8.32.0 184 11/21/2023
8.30.0 1,130 10/25/2023
8.28.0 1,277 9/21/2023
8.27.2 651 9/18/2023
8.27.1 590 9/18/2023
8.27.0 492 9/14/2023
8.26.0 722 9/1/2023
8.25.0 801 8/28/2023
8.24.0 2,027 7/17/2023
8.23.0 3,842 5/15/2023
8.22.0 4,288 4/3/2023
8.21.0 3,630 1/22/2023
8.20.0 1,205 1/12/2023
8.19.0 2,928 12/12/2022
8.18.0 1,156 12/8/2022
8.17.0 1,185 11/30/2022
8.16.5 1,219 11/26/2022
8.16.3 1,120 11/22/2022
8.16.2 1,137 11/16/2022
8.16.1 1,217 11/14/2022
8.16.0 1,212 11/11/2022
8.15.0 2,688 9/20/2022
8.14.0 1,850 8/24/2022
8.13.0 7,144 8/16/2022
8.12.1-patch1 420 12/28/2023
8.12.0 4,398 6/6/2022
8.9.1 4,379 4/27/2022
8.9.0 1,350 4/27/2022
8.8.0 2,174 4/17/2022
8.7.0 2,507 4/6/2022
8.6.0 2,610 3/23/2022
8.5.1 1,909 2/23/2022
8.5.0 1,426 2/18/2022
8.4.0 1,459 2/8/2022
8.3.0 1,467 1/21/2022
8.2.0 1,652 1/6/2022
8.1.0 1,148 12/28/2021
8.0.0 3,344 12/22/2021
8.0.0-beta4 766 12/21/2021
8.0.0-beta3 842 12/8/2021
8.0.0-beta2 232 12/7/2021
8.0.0-beta 244 12/7/2021
8.0.0-alpha 243 12/6/2021
7.17.0 3,194 11/30/2021
7.16.0 2,273 11/26/2021
7.15.0 2,947 11/9/2021
7.14.0 1,231 11/9/2021
7.13.0 1,883 10/19/2021
7.12.0 1,300 10/13/2021
7.10.0 3,557 6/29/2021
7.9.9 2,885 5/10/2021
7.9.6 1,400 4/30/2021
7.9.4 1,331 4/27/2021
7.9.3 1,372 4/18/2021
7.9.0 24,368 4/5/2021
7.8.1 2,107 3/21/2021
7.8.0 1,245 3/19/2021
7.7.0 544 3/15/2021
7.5.5 2,088 1/25/2021
7.5.2 1,943 1/13/2021
7.4.24 3,024 11/30/2020
7.4.19 2,678 11/6/2020
7.4.13 5,138 8/25/2020
7.4.12 2,367 8/11/2020
7.4.11 1,432 8/4/2020
7.4.10 1,420 7/30/2020
7.4.7 3,092 7/22/2020
7.4.6 1,426 7/20/2020
7.4.1 3,731 6/25/2020
7.4.0 1,562 6/19/2020
7.3.3 3,287 5/12/2020
7.3.2 2,065 5/8/2020
7.3.1 1,438 5/4/2020
7.3.0 1,469 4/25/2020
7.2.0 2,634 3/31/2020
7.2.0-beta3 1,531 3/17/2020
7.2.0-beta2 1,087 3/12/2020
7.2.0-beta 1,244 2/27/2020
7.1.0 2,663 2/3/2020
7.1.0-beta4 1,145 12/11/2019
7.1.0-beta3 1,115 11/11/2019
7.1.0-beta2 537 11/5/2019
7.1.0-beta 1,157 10/23/2019
7.1.0-alpha 458 10/8/2019
7.0.0 4,776 7/1/2019
6.3.0 2,311 5/31/2019
6.2.2 4,438 5/1/2019
6.2.1 2,274 4/5/2019
6.2.1-beta4 562 3/27/2019
6.2.1-beta3 554 3/18/2019
6.2.1-beta2 562 3/17/2019
6.2.1-beta1 550 3/12/2019
6.2.0 2,641 3/4/2019
6.1.1 1,981 2/15/2019
6.1.0 912 2/1/2019
6.1.0-beta4 638 1/14/2019
6.1.0-beta3 660 1/10/2019
6.1.0-beta2 722 1/8/2019
6.1.0-beta 667 1/7/2019
6.0.0 2,775 11/6/2018
6.0.0-beta 715 10/30/2018
5.2.3 4,422 9/20/2018
5.2.2 10,910 7/4/2018
5.2.1 2,650 5/10/2018
5.2.0 1,376 4/29/2018
5.1.0 1,424 3/20/2018
5.0.0 1,345 3/13/2018
5.0.0-alpha 1,076 3/12/2018
4.2.1 2,056 3/5/2018
4.2.0 1,817 3/1/2018
4.1.0 2,291 12/5/2017
4.1.0-alpha 1,187 10/27/2017
4.0.0 1,747 10/23/2017
3.2.0 2,004 10/14/2017
3.1.2 1,995 9/16/2017
3.1.0 2,623 12/15/2016
3.0.0 2,076 12/6/2016
3.0.0-beta 1,296 11/29/2016
3.0.0-alpha 1,408 11/23/2016
2.3.3 1,877 11/10/2016
2.3.1 1,950 10/29/2016
2.3.0 1,477 10/28/2016
2.2.0 2,235 2/1/2016
2.1.0 1,343 1/16/2016
2.0.0 1,771 1/15/2016
2.0.0-alpha 1,369 5/16/2015
1.0.1.20018 2,288 6/1/2014
1.0.0.33376 2,319 4/26/2014
0.5.3 1,868 2/3/2014
0.5.2 1,402 1/26/2014
0.5.0.1 2,675 1/12/2014
0.4.2-alpha 1,338 6/16/2013
0.4.1-alpha 1,273 6/15/2013
0.4.0-alpha 1,300 6/14/2013

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