SoundFingerprinting 4.2.1

.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There is a newer version of this package available.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 4.2.1
                    


                    

                
NuGet\Install-Package SoundFingerprinting -Version 4.2.1
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="4.2.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="SoundFingerprinting" Version="4.2.1" />
                    


                            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 4.2.1
                    


                    

                
#r "nuget: SoundFingerprinting, 4.2.1"
#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=4.2.1
                    


                            Install SoundFingerprinting as a Cake Addin
                        

                    

                
#tool nuget:?package=SoundFingerprinting&version=4.2.1
                    


                            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
11.4.0 314 3/10/2025
11.3.0 392 3/3/2025
11.2.0 1,601 12/19/2024
11.1.0 762 10/29/2024
11.0.0 342 10/3/2024
10.7.0 806 8/8/2024
10.6.0 272 7/9/2024
10.4.0 346 6/5/2024
10.3.1 296 5/17/2024
10.3.0 155 5/16/2024
10.0.0 952 4/5/2024
9.5.0 231 3/27/2024
9.4.4 901 3/2/2024
9.4.2 413 2/27/2024
9.4.0 320 2/26/2024
9.4.0-beta1 125 2/23/2024
9.3.0 367 2/19/2024
9.2.0 388 2/6/2024
9.1.0 1,085 12/28/2023
9.0.0 1,041 11/30/2023
9.0.0-beta 589 11/22/2023
9.0.0-alpha 124 11/19/2023
8.33.0 456 12/28/2023
8.32.0 182 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 3,825 5/15/2023
8.22.0 4,227 4/3/2023
8.21.0 3,628 1/22/2023
8.20.0 1,205 1/12/2023
8.19.0 2,927 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 2,686 9/20/2022
8.14.0 1,841 8/24/2022
8.13.0 7,144 8/16/2022
8.12.1-patch1 420 12/28/2023
8.12.0 4,396 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 2,498 4/6/2022
8.6.0 2,610 3/23/2022
8.5.1 1,904 2/23/2022
8.5.0 1,426 2/18/2022
8.4.0 1,458 2/8/2022
8.3.0 1,466 1/21/2022
8.2.0 1,651 1/6/2022
8.1.0 1,145 12/28/2021
8.0.0 3,312 12/22/2021
8.0.0-beta4 765 12/21/2021
8.0.0-beta3 841 12/8/2021
8.0.0-beta2 231 12/7/2021
8.0.0-beta 243 12/7/2021
8.0.0-alpha 242 12/6/2021
7.17.0 3,193 11/30/2021
7.16.0 2,271 11/26/2021
7.15.0 2,945 11/9/2021
7.14.0 1,228 11/9/2021
7.13.0 1,881 10/19/2021
7.12.0 1,298 10/13/2021
7.10.0 3,555 6/29/2021
7.9.9 2,883 5/10/2021
7.9.6 1,398 4/30/2021
7.9.4 1,329 4/27/2021
7.9.3 1,370 4/18/2021
7.9.0 24,366 4/5/2021
7.8.1 2,105 3/21/2021
7.8.0 1,243 3/19/2021
7.7.0 542 3/15/2021
7.5.5 2,084 1/25/2021
7.5.2 1,939 1/13/2021
7.4.24 3,020 11/30/2020
7.4.19 2,670 11/6/2020
7.4.13 5,124 8/25/2020
7.4.12 2,362 8/11/2020
7.4.11 1,427 8/4/2020
7.4.10 1,415 7/30/2020
7.4.7 3,087 7/22/2020
7.4.6 1,420 7/20/2020
7.4.1 3,726 6/25/2020
7.4.0 1,557 6/19/2020
7.3.3 3,265 5/12/2020
7.3.2 2,060 5/8/2020
7.3.1 1,433 5/4/2020
7.3.0 1,464 4/25/2020
7.2.0 2,629 3/31/2020
7.2.0-beta3 1,525 3/17/2020
7.2.0-beta2 1,082 3/12/2020
7.2.0-beta 1,239 2/27/2020
7.1.0 2,658 2/3/2020
7.1.0-beta4 1,139 12/11/2019
7.1.0-beta3 1,110 11/11/2019
7.1.0-beta2 533 11/5/2019
7.1.0-beta 1,153 10/23/2019
7.1.0-alpha 453 10/8/2019
7.0.0 4,750 7/1/2019
6.3.0 2,293 5/31/2019
6.2.2 4,434 5/1/2019
6.2.1 2,266 4/5/2019
6.2.1-beta4 558 3/27/2019
6.2.1-beta3 549 3/18/2019
6.2.1-beta2 558 3/17/2019
6.2.1-beta1 546 3/12/2019
6.2.0 2,637 3/4/2019
6.1.1 1,977 2/15/2019
6.1.0 908 2/1/2019
6.1.0-beta4 634 1/14/2019
6.1.0-beta3 656 1/10/2019
6.1.0-beta2 718 1/8/2019
6.1.0-beta 663 1/7/2019
6.0.0 2,769 11/6/2018
6.0.0-beta 709 10/30/2018
5.2.3 4,416 9/20/2018
5.2.2 10,834 7/4/2018
5.2.1 2,632 5/10/2018
5.2.0 1,358 4/29/2018
5.1.0 1,405 3/20/2018
5.0.0 1,326 3/13/2018
5.0.0-alpha 1,058 3/12/2018
4.2.1 2,038 3/5/2018
4.2.0 1,805 3/1/2018
4.1.0 2,273 12/5/2017
4.1.0-alpha 1,169 10/27/2017
4.0.0 1,729 10/23/2017
3.2.0 1,986 10/14/2017
3.1.2 1,977 9/16/2017
3.1.0 2,605 12/15/2016
3.0.0 2,057 12/6/2016
3.0.0-beta 1,284 11/29/2016
3.0.0-alpha 1,389 11/23/2016
2.3.3 1,865 11/10/2016
2.3.1 1,926 10/29/2016
2.3.0 1,465 10/28/2016
2.2.0 2,209 2/1/2016
2.1.0 1,327 1/16/2016
2.0.0 1,751 1/15/2016
2.0.0-alpha 1,349 5/16/2015
1.0.1.20018 2,267 6/1/2014
1.0.0.33376 2,298 4/26/2014
0.5.3 1,847 2/3/2014
0.5.2 1,388 1/26/2014
0.5.0.1 2,654 1/12/2014
0.4.2-alpha 1,324 6/16/2013
0.4.1-alpha 1,259 6/15/2013
0.4.0-alpha 1,286 6/14/2013

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 me for early access to specially designed fingerprinting storage that outperforms Solr