# Aligning syntactic structure to the dynamics of verbal communication: A pipeline for annotating syntactic phrases onto speech acoustics

**Authors:** Cosimo Iaia, Alessandro Tavano

PMC · DOI: 10.3758/s13428-025-02747-7 · Behavior Research Methods · 2025-08-07

## TL;DR

This paper introduces a method to align speech acoustics with syntactic phrases, helping to study how language structure is encoded in communication.

## Contribution

A novel pipeline for aligning syntactic phrases with speech acoustics using both physical and theoretical aspects.

## Key findings

- The pipeline successfully aligns overt speech units with covert syntactic units.
- The method integrates physical and theoretical aspects of speech and language signals.
- Validation shows the pipeline's potential for studying language encoding in the brain.

## Abstract

To investigate how the human brain encodes the complex dynamics of natural languages, any viable and reproducible analysis pipeline must rely on either manual annotations or natural language processing (NLP) tools, which extract relevant physical (e.g., acoustic, gestural), and structure-building information from speech and language signals. However, annotating syntactic structure for a given natural language is arguably a harder task than annotating the onset and offset of speech units such as phonemes and syllables, as the latter can be identified by relying on the physically overt and temporally measurable properties of the signal, while syntactic units are generally covert and their chunking is model-driven. We describe and validate a pipeline that takes into account both physical and theoretical aspects of speech and language signals, and operates a theory-driven and explicit alignment between overt speech units and covert syntactic units.

## Full-text entities

- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12331764/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12331764/full.md

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Source: https://tomesphere.com/paper/PMC12331764