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Luscinia was developed as an accessible and Open Source software for archiving and analyzing field sound recordings (especially of animals).
It incorporates an interface to a database, spectrogram measurement algorithms, sound comparison algorithms, and statistical analysis.
Luscinia provides a flexible spectrogram view of sounds. The appearance of spectrograms (Fonts, tick-marks and other details) can be modified to make spectrograms suitable for publication.
An ‘echo-removal’ function improves the appearance of spectrograms of field recordings. Sound playback (at different speeds), and an advanced pitch view (showing the fundamental frequency, and suitable for harmonically structured signals) are also provided.
Luscinia measures 15 acoustic features of sounds at each point in the signal, and stores them in the database. The aim is to avoid repeated measurement of sounds for different analyses. Measurement uses a flexible semi-automated approach that is rapid for clean recordings, but still accurate for noisier recordings.
Luscinia allows you to set up planned comparisons of certain sets of recordings – for example in tutor/tutee experiments – or analysis of large datasets from whole populations.
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Luscinia is an Open-Source voice recording and analysis application written in Python. It has been developed for researchers working in fields such as animal communication, acoustics, signal processing and psychology.
Luscinia is an extensible software and assumes that the developer will have some programming skills. It can be run on a PC or Mac, and is designed to run on a variety of platforms.
It has been used to measure time intervals in field recordings that a human expert cannot judge to the millisecond (such as intervals between duet calls in a male-female pair), calculate signal to noise ratios (SNR), compare sounds, and perform statistical analyses.
Features
Luscinia has the following features:
A spectrogram view.
Plots a frequency-time curve over time in a numerical form.
Measurements of noise level over time.
Measurements of fine-scale acoustic features, including dominant frequency, duration, peak amplitude, zero crossing rate, and a variety of other features.
One microphone view, allowing sounds to be analysed with the microphone feed in place.
Recording file import and export.
Export to the database for storage.
Automatic measurement of recording file size.
Export recording file headers and metadata to the database for storage.
Equivalent sound analysis, allowing comparison of sounds in the archive database.
Applications such as Matlab, Statistica, SPSS, Stata and R can be linked to the Luscinia database.
Audio files can be played back at variable speeds.
Audio files can be exported as a WAV or AIFF sound recording, and can be analysed directly after importing.
One can export sound files to MusicXML, and have the sound files open in a standard music sequencer.
An echo-removal function can clean up recordings with significant background noise.
Compare sounds in the database by clicking on them and viewing a side by side comparison.
A feature to control comparison window size, allowing comparisons to be set in a flexible manner.
A feature to process sounds one at a time, or in series
A feature to generate process signals (Laplace filtered versions of the original sound waveforms) for different analyses.
A feature to calculate signal-to-noise ratio (SNR)
A feature to calculate the intensity of a sound
A feature to calculate the frequency bands that contribute most to the sound’s intensity
A feature to calculate inter-peak intervals
A feature to calculate the duration
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Luscinia is an open source (GNU GPLv2) program for video and audio analysis and editing.
It is designed for archiving and analysis of field video and audio recordings.
It includes a stand-alone video and audio editor, spectrograms with many settings, sound comparison and playback, statistical analysis and visualization.
The program runs on a Linux platform (GNU/Linux, GNU/kFreeBSD, GNU/SunOS).
Note 1: For detailed documentation, see “the about luscinia documentation”.
Note 2: Luscinia can be used in conjunction with any compliant audio device driver on your system. For a list of devices supported, see:
A third party repository of plugins was included in the download. This can be uninstalled by deleting the file: /usr/share/luci/plugins/medialibrary.
Luscinia 1.3.5
Mon Mar 30 02:18:54 CEST 2017
See for details about the current version.
For the LibreOffice suite of office documents, luscinia is a replacement for the fully incompatible and proprietary Avidemux, which does not support the necessary advanced editing operations.
[5]
Luscinia 1.3.2
Thu Feb 9 15:55:02 CET 2015
See for details about the current version.
Linux release
After the Linux release of luscinia 1.3.1 in December 2014, the luscinia developers have spent the time to upgrade the luscinia project itself to the latest stable LibreOffice 5.1 version.
Luscinia 1.3.1
Mon Dec 16 15:04:27 CET 2014
See for details about the current version.
Linux release
See for the actual source code release
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Luscinia Crack+ For Windows
Luscinia is an open-source program for the analysis of acoustic signals. It is written in C++ and runs on any platform on which the Clang or Gnu compilers are available.
Luscinia can record and display the sound of live and archive field recordings. It will accept samples in MP3, WAV, Ogg Vorbis, Audacity and Mouse PSF.
The display features a spectrograph with adjustable font type and size, tick marks, and automatic echo cancellation.
See here for a complete list of Luscinia features.
The Luscinia archive contains a database that can be used by other programs such as E-Prime, JavaSound, and labview.
The archive can be searched and manipulated by a Tableau server. The library also contains an interface to the tableau server making it easy to combine Luscinia with other Tableau-server compatible software.
Luscinia can also be used as a command line tool:
Luscinia can also be used to display and measure spectrograms of other formats. We have provided examples of how to do this below.
Motivation
Luscinia was developed for a researcher wanting to test theory in the field by analysing recordings of subjects directly.
Testing theory in the wild
Luscinia is not suitable for analysing recordings produced by automatic or electronic recording devices, but only those made by a dedicated researcher, using their microphone to record.
Luscinia was developed to make it easier to collect, process and analyse field sound recordings in the hope of changing the way researchers do fieldwork and teaching
Integrating theory and practice
Luscinia provides the researcher with the means to test theory in the wild. Luscinia is intended to allow researchers to be creative in how they approach theory testing. We have provided an example of how this is achieved using Luscinia below.
The example
Consider a researcher who wishes to determine whether the vocalizations of an animal are associated with the animal’s sex.
Researchers might record the vocalizations, and then compare a male and female group to determine whether the type of vocalizations differs between males and females.
However, such a comparison is not always possible because of the lack of a suitable control group.
Researchers might therefore find other subjects and record the vocalizations of the other group to compare with the vocalizations of the focal group.
If the
What’s New In Luscinia?
Luscinia was developed as an accessible and Open Source software for archiving and analyzing field sound recordings. The software is written in C++ and is platform-independent. It currently operates on Microsoft Windows platforms and has been tested with X Windows and GTK. It provides a series of features for field recording and analysis of animals. With Luscinia you can access to a structured database of audio files.
The database can be written locally with a text editor, but its use is very flexible; it is accessed with the tools provided with Luscinia.
The Luscinia GUI is an interface to the database. It provides a semi-automated way of measuring the acoustic features of recorded sounds. The interface is more appealing to users who do not want to type in commands manually, but still have the power of a machine to process the audio.
From the database you can extract file lists of sounds for each measure, as well as fast online access to individual audio files through an embedded Fast Fourier Transform (FFT). Audio feature measurements are semi-automated and a database of user-defined measurements has been implemented.
The GUI also allows the user to cut and paste samples of audio, the number of measurements at each point in the signal can be changed, and an echo-removal function is included to improve the quality of spectrograms.
A slow playback function is also provided, as well as an ability to set speed ratios which help identify sounds.
The pitch views provide sounds and notes on an x-y axis, with the fundamental frequency at the x-axis to allow for some harmonically structured signals to be viewed.
A wizard style search facility is provided that allows you to define the maximum number of sounds to search for. It also allows you to search on sound features.
Luscinia has been tested on a number of species: Chordata ( fish ), Amphibia ( frogs ), Reptilia ( lizards ) and Aves ( birds ). We have also recently tested it on mammals. The software contains graphical tools for the extraction of the features at each time point in the signal, and for displaying the data in its box-and-whiskers format.
It can be used with the Luscinia data base ( or it can be installed as a stand alone package.
Luscinia Features and Benefits:
– It offers a new way of analys
System Requirements For Luscinia:
Microsoft Windows 7/8/10
1.5 GHz Dual-Core Processor (2.0 GHz+ Recommended)
2 GB RAM (3 GB+ Recommended)
100 MB free hard disk space
HDD
DirectX 9.0 compatible video card with 512 MB+ of RAM
Some portable gaming devices such as the Xbox One, Sony PS4, PlayStation 3, and Nintendo Switch.
Required Internet Connection
Supported file formats:
HAR format (JPEG, PNG, GIF, SVG, BMP, TIFF
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