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.

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.

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.

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.

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

tools for conducting acoustic analysis

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

AI system that analyzes urban soundscapes to optimize city planning, reduce noise pollution, and enhance acoustic environments using audio deep learning.

An autonomous quadruped robot controlled by acoustic detection

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.

Professional portfolio for AI Evaluation, Audio Analysis, and UX Research. Specialized in Human-in-the-Loop (HITL) data integrity and design-focused research.

Web component to add analysis capabilities to gram image

🔊 Analyze urban soundscapes and monitor noise pollution with AI to enhance city planning and create acoustically balanced environments.