Category Archives: Analysis

Audio analysis software

audioMotion ~ Player & Realtime Spectrum Analyzer

Posted by tom2tec on

audioMotion is a media player and high-resolution real-time audio spectrum analyzer that allows you to SEE your music! ♪♫🤩

It is completely free, open-source software, created out of my passion for the graphic spectrum analyzers of hi-fi systems from the 1980s.

Features:

Dual channel high-resolution real-time audio spectrum analyzer

  • Media player with subtitles support for audio and video files
  • Fullscreen and Picture-In-Picture display at 60fps, ready for Retina / HiDPI screens
  • Logarithmic, linear and perceptual (Bark and Mel) frequency scales, with customizable range
  • Visualization of discrete FFT frequencies or up to 240 frequency bands (supports ANSI and equal-tempered octave bands)
  • Decibel and linear amplitude scales, with customizable sensitivity
  • Optional A, B, C, D and ITU-R 468 weighting filters
  • Optional effects: vintage LEDs, variable opacity, mirroring and reflection, radial spectrum
  • 17 beautiful color gradients, plus a visual editor to easily create your own gradients
  • Support for M3U playlists (.m3u and .m3u8 file extensions)
  • Visualize audio from your microphone (or “stereo mix”, if your soundcard supports it)

audiomotion.app
github.com/hvianna/audioMotion.js

Resources:

en.wikipedia.org/wiki/Spectrum_analyzer

SongRec ~ Linux Shazam Client

Posted by tom2tec on

SongRec is an open-source Shazam client for Linux, written in Rust.

github.com/marin-m/SongRec
flathub.org/apps/com.github.marinm.songrec

THD Meter ~ Measure Total Harmonic Distortion

Posted by tom2tec on

MathAudio THD Meter VST/AU

  • Measures Total Harmonic Distortion (THD) in sound cards, speakers and headphones.
  • Applies matched filters for maximizing the signal-to-noise ratio (SNR) in the presence of additive stochastic noise.
  • Supports microphone calibration files.
  • Supports full range of sample rates from 44.056 kHz up to 384 kHz. All sample rates are supported without resampling to avoid any possible loss in accuracy.

mathaudio.com/thd-meter

SoundScapeExplorer ~ Process, Visualize & Explore

Posted by tom2tec on

SSE is a powerful and versatile software environment designed for soundscape visualisation and quantification. It provides a robust platform for processing audio files, generating useful metrics, and presenting data through intuitive visualisation interfaces. Catering to bioacousticians and data scientists alike, 

SoundScapeExplorer Icon

SSE encompasses an extensive range of tools and capabilities to fulfil diverse user requirements.

sound-scape-explorer.github.io
github.com/sound-scape-explorer

BirdNET-Go ~ Realtime BirdNET Soundscape Analyzer

Posted by tom2tec on

BirdNET-Go is an AI solution for continuous avian monitoring and identification

  • 24/7 realtime bird song analysis of soundcard capture, analysis output to log file, SQLite or MySQL
  • Utilizes BirdNET AI model trained with more than 6500 bird species
  • Local processing, Internet connectivity not required
  • Easy to use Web user interface for data visualisation
  • BirdWeather.com API integration
  • Realtime log file output can be used as overlay in OBS for bird feeder streams etc.
  • Minimal runtime dependencies, BirdNET Tensorflow Lite model is embedded in compiled binary
  • Runs on Windows, Linux and macOS
  • Low resource usage, works on Raspberry Pi 3 and equivalent 64-bit single board computers

github.com/tphakala/birdnet-go

Audio DiffMaker ~ Signal Difference Extraction Software

Posted by tom2tec on

Audio DiffMaker is a freeware tool set intended to help determine the absolute difference between two audio recordings, while neglecting differences due to level difference, time synchronization, or simple linear frequency responses.

The difference recording  that results is only what has changed between the two recordings.  If anything – a change of component, a treatment, mechanical damping, etc. – is having any audible effect on the audio signal in a system, the difference recording will have audible content. The end result is primarily intended to be evaluated by ear.

Presented at the 125th AES convention. “Detecting Changes in Audio Signals by Digital Differencing“

www.libinst.com/Audio DiffMaker

Axone.jar ~ mp3 Examination

Posted by tom2tec on

Axone.jar is a utility allowing you to view all the information available in an MP3 file. This is not to be misunderstood: all the possible information. In the tag version 2 (ID3V2), the information is subdivided into frames and there are many more frames declared than frames actually displayed by MP3 players. Well Axone.jar knows how to display them all, without exceptions and whatever the version!

  • Very classic frames such as title, album, artist, year, genre, track and comment.
  • Other frames displayed by only some MP3 players.
    • the image(s).
    • the composer.
    • the text of the song.
    • volume control (itunes)
  • The frames that are hidden from you (not necessarily with bad intentions).
    • private frames (MusicMatch).
    • encapsulated objects (RealJukebox).
    • abusive comments (iTunes, Mediaplayer, MusicMatch, SoundJam).
    • identification of coding software (LAME, iTunes)
    • the identification of the original CD (LAME)
    • internet links (MusicMatch)
  • Undeclared frames, not understood and therefore clearly hidden from all MP3 players.
  • The other frames usually not used.

Other data

The Lyrics and TAG+ tags, which are completely obsolete, may remain forgotten in certain files. If they are present, Axone.jar displays them.

When the software reads an MP3 file to display the current tag, it does a summary check of the audio data. It gives you the classic information on bitrate, sampling frequency, duration, etc.; but also if it finds excess or erroneous data. Excess data can be a sign of corrupted audio data, or of data intentionally hidden if the file was purchased on a merchant site (or if you did P2P). At this level, it is important to understand that the audio decoder is robust in the sense that data that is incomprehensible to it is simply skipped. It is therefore very easy to hide data between audio data, without risking disturbing MP3 players.

flying.guy.chez-alice.fr/Axone

Wave Lens ~ Scan Audio To Find Artifacts & Defects

Posted by tom2tec on

This application can be used to find artifacts in audio files generated by signal processors. It analyses the signal variance across the audio duration, then generates a graph of the results.

The following types of audio can analysed:
* Music
* Sine Tones
* Noise (White, Pink, etc)

If the audio recording is split across multiple files, they can be loaded into this application collectively and will be treated as a single stream. Multiple batches can also be loaded, in order to process multiple recordings in one continuous operation. The scanners can only process audio files up to 2.5GB, but the file splitter function can be used to break up large files into smaller ones.

sourceforge.net/projects/wave-lens

Online Spectrum Analyzer & Spectrogram Using Custom FFT

Posted by tom2tec on

Resources:

en.wikipedia.org/wiki/Spectrum_analyzer

MAnalyzer ~ Normalizing Spectral Analyzer & Sonogram

Posted by tom2tec on

MAnalyzer is an advanced spectral analyzer and sonogram plugin containing unique features such as smoothing, normalization, super-resolution, prefiltering and deharmonization. The included meters provide a peak meter and EBU R128 and ITU-R BS 1770-3 compliant loudness meter.

www.meldaproduction.com/MAnalyzer

AudioAlign ~ Audio Synchronization & Analysis Tool

Posted by tom2tec on

AudioAlign is a research tool to investigate automatic synchronization of audio and video recordings that have either been recorded in parallel at the same event or contain the same aural information. It is designed as a GUI for the Aurio library.

github.com/protyposis/AudioAlign

MusicIP ~ Analyse Songs & Generate Playlists

Posted by tom2tec on

MusicIP is much more than a conventional Playlist Generator. MusicIP is a clever piece of software written in the 2000s that analyses and fingerprints your local music library to try to understand the makeup of each music track. So instead of endlessly scrolling through your library, trying to find something to listen to, you can simply select a track (the seed track) then based on MusicIPs understanding of your library, generate a playlist of tracks that blend together. This is far more than a genre based mix, as it will select tracks that are similar in composition.

www.spicefly.com/article.php?page=what-is-musicip