YannickJadoul/Parselmouth

Health v2 · maintenance only

Adoption not part of the score

1286 stars · 131 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Parselmouth is a Python library that exposes Praat's internal C/C++ speech and acoustic analysis code through a complete, Pythonic interface. Because it links directly to Praat's source rather than wrapping its scripting language, analysis results are identical to those produced by Praat itself.

Use cases

• analyze speech audio with Praat algorithms from Python
• extract pitch contours and formants from wav files
• compute spectrograms and intensity programmatically
• batch-process audio files for phonetic research
• automate Praat analyses without writing Praat scripts
• integrate acoustic measurements into NumPy and matplotlib pipelines

When to choose

• You need Praat-identical analysis results inside a Python workflow
• You want to script or automate acoustic/phonetic analyses at scale instead of using Praat's GUI or scripting language
• You are building scientific pipelines that combine speech analysis with NumPy, SciPy, or matplotlib

When to avoid

• You need speech recognition or transcription rather than acoustic analysis
• You only need audio playback, editing, or format conversion that simpler audio libraries cover
• You are not working in Python and just want the standalone Praat application

Facets

library · maturity stable

audio-processing speech-processing python cross-platform windows praat phonetics speech-analysis acoustic-analysis pitch-analysis formants spectrogram python-bindings jupyter audio linux macos

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