.NET DSP library with a lot of audio processing functions
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Updated
Sep 27, 2022 - C#
.NET DSP library with a lot of audio processing functions
SQAT is an open-source repository of MATLAB codes containing the implementation of key metrics for quantitative sound quality analysis.
A Python implementation of the Speech Intelligibility Index
Software for psychoacoustics experiments
python classes for working with sounds and conducting psychoacoustic experiments
Ultra-low-complexity MDCT Audio Codec
Shenzhen Environmental Noise Monitoring Project
Collection of MATLAB scripts and toolboxes regarding my Master Thesis on psychoacoustics
Classifying sound signals as Links, Midden or Rechts using features computed using a Mel-Frequency filterbank, summing the power of the frequency-domain in the relevant filters. Dynamic Time Warping is used to find proper alignment between the unknown word and several labelled exemplars per word we are looking for. Then, k nearest neighbours tel…
perceptual audio codec/file format based on WLPC in a FLAC container
Run listening tests in the browser locally or via GitHub pages
MATLAB implementation of the Speech Transmission Index for Public Address (STIPA) method for evaluating the speech transmission quality.
A timbre similarity compare algorithm based on human intuition
python app for analysis of short sounds
Adaptive Pre and Post Filters based on Perceptual Audio Coding Using Adaptive Pre- and Post-Filters and Lossless Compression by G. Schuller
Julia functions for psychophysics research
Julia library for generating sounds
A basic psychoacoustic encoder that removes simplifies signals by removing components in Discrete Fourier Transforms.
Code and results accompanying paper: "Crossing the Linguistic Causeway: A Binational Approach for Translating Soundscape Attributes to Bahasa Melayu"
This Python code is derived from the research article "Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep Learning" published in the journal Applied Acoustics. It provides a framework for predicting the audibility of acoustic alarms in noise, and includes scripts to reproduce the results
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