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March 12, 2026Open Access

Beyond LENA: Open-Source NLP & AI Tools for Audio Data

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Authors

IBIoana BuhnilaChosun University

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Implication

This tutorial demonstrates open-source NLP and AI tools for audio data processing, suggesting enhanced accessibility for researchers.

Key Points

  • The tutorial aims to present open-source NLP and AI tools for efficiently processing large audio datasets.
  • Introduced Natural Language Processing (NLP) algorithms for audio data.
  • Highlighted open-source tools like VTC and ALICE for audio segmentation and linguistic unit estimation.
  • Discussed the use of Audio and Multimodal Large Language Models for feature extraction.
  • VTC segments audio into broad speaker categories, improving analysis efficiency.
  • ALICE estimates linguistic units in adult speech, facilitating language research.
  • The tutorial emphasizes the importance of reproducibility with open-source tools in research.

Cite This Study

Ioana Buhnila (2026) studied this question.

synapsesocial.com/papers/69b2587296eeacc4fcec8130https://doi.org/10.5281/zenodo.18918375
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  1. 1Beyond LENA: Open-Source NLP & AI Tools for Audio Data2026
  2. 2Tutorial: Whisper Tools for Long-form Audio Data Processing2026
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  4. 4A comprehensive overview of audio language models2025
  5. 5Long-form recordings to study children’s language input and output in under-resourced contexts2024