Speech & Audio

MetaPerch explores a simple but underused idea: bioacoustic models should learn not only from animal sounds, but also from the metadata attached to those recordings. The work uses signals such as location and time as auxiliary supervision for more robust species identification.

A new arXiv paper explores a text-free approach to second-language speech assessment using WavLM representations and dynamic time warping. The method performs strongly on phonetic scoring and offers a promising path for rhythm and intonation evaluation.