phonetics-praat
CommunityExtract pitch, formants, and VOT in Python.
Education & Research#speech analysis#acoustic phonetics#formant extraction#pitch contour#voice onset time#praat parselmouth#vowel space
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you turn raw speech audio into measurable acoustic-phonetics signals such as pitch (F0), vowel formants (F1–F3), intensity, spectrogram features, and Voice Onset Time (VOT) for phonological and linguistic analysis.
Core Features & Use Cases
- Praat-style pitch (F0) extraction: Compute a time-aligned F0 contour and handle unvoiced frames for prosody and intonation studies.
- Formant analysis for vowel space: Estimate F1/F2/F3 using Praat’s Burg LPC method and visualize vowel quadrilaterals (e.g., comparing vowel categories across speakers).
- VOT measurement: Estimate the stop consonant burst and voicing onset gap to classify voiced vs. voiceless stop contrasts across languages (with a demo-oriented detection approach).
- Spectrogram and intensity contours: Generate spectrograms and intensity trajectories to support qualitative and quantitative comparisons (e.g., MFCC exploration, speech rhythm).
Quick Start
Ask the AI agent to load your WAV file and extract F0, F1–F3 at a target time point, generate a spectrogram with intensity, and report VOT and summary statistics for the segment.
Dependency Matrix
Required Modules
praat-parselmouthnumpyscipylibrosamatplotlibpandas
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: phonetics-praat Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#phonetics-praat Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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