voice: A Comprehensive R Package for Audio Analysis

Zabala et al., (2025). voice: A Comprehensive R Package for Audio Analysis. Journal of Open Source Software, 10(111), 8420, https://doi.org/10.21105/joss.08420

Resonate

by Alexandre R.J. François

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis

Audio information plays a rather important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyze such content: audio event recognition for home automations and surveillance systems, speech recognition, music information retrieval, multimodal analysis (e.g. audio-visual analysis of online videos for content-based recommendation), etc. This paper presents pyAudioAnalysis, an open-source Python library that provides a wide range of audio analysis procedures including: feature extraction, classification of audio signals, supervised and unsupervised segmentation and content visualization. pyAudioAnalysis is licensed under the Apache License and is available at GitHub (https://github.com/tyiannak/pyAudioAnalysis/). Here we present the theoretical background behind the wide range of the implemented methodologies, along with evaluation metrics for some of the methods. pyAudioAnalysis has been already used in several audio analysis research applications: smart-home functionalities through audio event detection, speech emotion recognition, depression classification based on audio-visual features, music segmentation, multimodal content-based movie recommendation and health applications (e.g. monitoring eating habits). The feedback provided from all these particular audio applications has led to practical enhancement of the library.

Release v2.1.0 · AlgoCompSynth/AlgoCompSynth-One

Release v2.1.0 - Main changes: Instead of a fixed name for the AlgoCompSynth-One Mamba environment, r-reticulate, the user can now choose any name. The default is acs-1. Documentation clean-up.

Audio OSINT

Using audio for open-source intelligence analysis Introduction Open-source intelligence analysis often heavily relies on video analysis. There will be use cases for researchers to look at video footage to find people, buildings or other things that will be a form of verification and or validation based on analyzing video footage using OSINT techniques. In most cases these techniques rely on image analysis techniques. OSINT researches study video footage and look for details in: The foreground T

An Update to Audio Analysis

Homepage — Essentia 2.1-beta5-dev documentation

Open-source library and tools for audio and music analysis, description and synthesis