Automated Reproducible Acoustical Analysis
-
Updated
Aug 12, 2024 - Python
Automated Reproducible Acoustical Analysis
Praat++ — A web-based multimodal annotation tool for acoustic and video data.
Non-contact acoustic fault detection for industrial machines using deep learning — no physical sensors required.
Scripts for analyzing how the extent of coarticulation varies across different communicative contexts using speech samples from the LUCID corpus
Engine identification using acoustic signal analysis and machine learning to classify 8 vehicle types. Audio signals are processed using FFT and feature extraction, and a multi-class model predicts vehicle categories based on their unique sound patterns.
AI system that analyzes urban soundscapes to optimize city planning, reduce noise pollution, and enhance acoustic environments using audio deep learning.
Syntax highlighting, intelligent autocomplete, and hover documentation for Praat scripting in Sublime Text 4. 2074 commands with verified parameter signatures, 366 functions, clinical voice analysis guidance, and AVQI snippet. Type any word to find commands — case corrected automatically.
Acoustic Space Analyzer AI Pro is a professional acoustic analysis tool that leverages artificial intelligence to generate optimized DSP processing chains for any acoustic environment. This innovative application combines real-time spectral analysis, 3D spatial scanning, and AI-powered audio processing to deliver precise acoustic corrections.
Official Python SDK for the Vocametrix voice analysis API — AVQI, DSI, jitter/shimmer, pronunciation assessment, speech-to-text, prosody similarity, and 40+ more clinical and acoustic measures.
SANJEEVANI is an AI-based wildlife protection system that detects poaching activities using computer vision and acoustic gunshot detection. The system uses YOLOv8 to detect humans, guns, elephants, and ranger uniforms, combined with threat classification logic to identify poachers and trigger automated alerts to forest rangers via SMS&Wireless Comm
My Ph.D. thesis finished and defended at the Brno University of Technology (2018). The package contains all necessary files such as bibtex, template, texts, figures, and all other files according to http://latex.feec.vutbr.cz
Analysis of humpback whale vocalizations through spectrogram interpretation and statistical analysis in RStudio.
Edge AI-powered Android app for real-time respiratory health tracking. Utilizes C++ JNI and ONNX distillation models to extract 6-dimensional acoustic features from cough sounds. 一款基於邊緣人工智慧的安卓應用,用於即時追蹤呼吸健康狀況。利用 C++ JNI 和 ONNX 蒸餾模型,從咳嗽聲中擷取 6 維聲學特徵。
Repository for the moving window segmentation software used by the UW Voicelab.
Official TypeScript / JavaScript SDK for the Vocametrix voice analysis API — AVQI, DSI, jitter/shimmer, pronunciation assessment, speech-to-text, prosody similarity. Works in Node and browsers.
This repository stores coding pipeline to process and analyze data associated with project "Putting in the Effort: Modulation of Multimodal Effort in Communicative Breakdowns during a Gestural-Vocal Referential Game" (FLESH).
Official Model Context Protocol (MCP) server for Vocametrix — bring clinical voice analysis (AVQI, DSI, jitter/shimmer, pronunciation assessment, prosody similarity, and 40+ more) into Claude, Cursor, Zed, Windsurf, and any MCP-compatible agent.
Manage and search your X data locally with birdclaw, featuring archive import, cached media, and a clean web UI for timelines and messages.
Add a description, image, and links to the acoustic-analysis topic page so that developers can more easily learn about it.
To associate your repository with the acoustic-analysis topic, visit your repo's landing page and select "manage topics."