Zofia Malisz


2024

pdf
PRODIS - a Speech Database and a Phoneme-based Language Model for the Study of Predictability Effects in Polish
Zofia Malisz | Jan Foremski | Małgorzata Kul
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

We present a speech database and a phoneme-level language model of Polish. The database and model are designed for the analysis of prosodic and discourse factors interacting with predictability effects on acoustic parameters. The database is also the first large, publicly available Polish speech corpus of excellent acoustic quality that can be used for phonetic analysis and training of multi-speaker speech technology systems. The speech in the database is processed in a pipeline that achieves a 90% degree of automation. It incorporates state-of-the-art, freely available tools enabling database expansion or adaptation to additional languages.

2018

pdf
FARMI: A FrAmework for Recording Multi-Modal Interactions
Patrik Jonell | Mattias Bystedt | Per Fallgren | Dimosthenis Kontogiorgos | José Lopes | Zofia Malisz | Samuel Mascarenhas | Catharine Oertel | Eran Raveh | Todd Shore
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

pdf
Bringing Order to Chaos: A Non-Sequential Approach for Browsing Large Sets of Found Audio Data
Per Fallgren | Zofia Malisz | Jens Edlund
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2014

pdf
ALICO: a multimodal corpus for the study of active listening
Hendrik Buschmeier | Zofia Malisz | Joanna Skubisz | Marcin Wlodarczak | Ipke Wachsmuth | Stefan Kopp | Petra Wagner
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The Active Listening Corpus (ALICO) is a multimodal database of spontaneous dyadic conversations with diverse speech and gestural annotations of both dialogue partners. The annotations consist of short feedback expression transcription with corresponding communicative function interpretation as well as segmentation of interpausal units, words, rhythmic prominence intervals and vowel-to-vowel intervals. Additionally, ALICO contains head gesture annotation of both interlocutors. The corpus contributes to research on spontaneous human–human interaction, on functional relations between modalities, and timing variability in dialogue. It also provides data that differentiates between distracted and attentive listeners. We describe the main characteristics of the corpus and present the most important results obtained from analyses in recent years.