PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 8, 2026Organised Sound0 citationsOpen Access

Praat Audiotools: An offline analysis-resynthesis toolkit for experimental composition

SCS. Robin CohenUniversity of Washington

Key Points

  • The aim is to explore how phonetic analysis can be utilized as a tool for musical composition.
  • Developed a library of over 300 scripts for Praat software
  • Proposed a workflow utilizing phonetic analysis objects as editable musical scores
  • Emphasized iterative edit–render–listen processes for composition
  • Small modifications in analysis data lead to significant changes in musical structure
  • Successfully integrated neural network processing while ensuring interpretability
  • Demonstrated new compositional strategies through various case studies

Abstract

Abstract Praat AudioTools is an open-source library of over 300 scripts that transforms the phonetic analysis software Praat (Boersma and Weenink) into an offline, object-centric laboratory for electroacoustic composition. While Praat is the standard tool for linguistic analysis, its potential for musical creation has remained largely untapped due to its interface design. We propose a workflow in which phonetic analysis objects – specifically PitchTiers (frequency curves), FormantGrids (resonance tracks) and TextGrids (temporal segmentation) – function as editable musical scores. Unlike real-time performance environments (e.g., Max/MSP, SuperCollider), which prioritise low-latency interaction, this toolkit emphasises ‘compositional deep time’, embedding analysis within an iterative edit–render–listen loop. Small modifications to analysis data produce structural consequences in timbre, gesture and form, enabling a research-creation practice rooted in the acousmatic tradition and spectromorphological thinking. By treating phonetic measurement as compositional material, AudioTools bridges phonetics and poetics. We contextualise this framework within the lineage of speech synthesis in electroacoustic music and demonstrate, through case studies, how it enables compositional strategies grounded in analysis as composition. The toolkit integrates neural network processing while maintaining interpretability, positioning it critically against black-box neural synthesis and arguing for transparent, parametric control in research-creation practice.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

S. Robin Cohen (2026) studied this question.

synapsesocial.com/papers/69d5f05d74eaea4b11a79d14https://doi.org/10.1017/s1355771826101204
Ask AI
Helpful
Bookmark
Share
View Full Paper