Crowsetta: A Python tool to work with any format for annotating animal vocalizations and bioacoustics data

TL;DR: This review provides a practical guide for biologists and computer scientists on automatic detection of acoustic events in bioacoustics, leveraging machine learning and AI to analyze large volumes of data generated by passive acoustic monitoring.

TL;DR: Blosc2 NDim enables efficient exploration of large multidimensional datasets by adding support for large dimensional datasets and implementing a new two-level data partition. This significantly accelerates slicing speed and compression efficiency.

TL;DR: Researchers developed vak, a neural network framework for studying animal acoustic communication, enabling easy benchmarking and testing of models with user data, and providing a command-line interface and API for domain-specific PyTorch applications.

TL;DR: Parselmouth is a Python library for bioacoustics that simplifies access to Praat software functionality. It has been widely used in bioacoustics research and has the potential to be used even more.

TL;DR: P pandas is a new library which aims to facilitate working with data sets common to finance, statistics, and other related fields and to provide a set of fundamental building blocks for implementing statistical models.

TL;DR: It is argued that an understanding of the faculty of language requires substantial interdisciplinary cooperation and how current developments in linguistics can be profitably wedded to work in evolutionary biology, anthropology, psychology, and neuroscience is suggested.

TL;DR: This paper focuses on applications in data visualisation, file manipulation, audio manipulation, statistical analysis, and integration of Parselmouth into a Python-based experimental design for automated, in-the-loop manipulation of acoustic data.