Probing self-supervised speech models for phonetic and phonemic
information: a case study in aspiration

Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration

9 June 2023

Papers citing "Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration"

9 / 9 papers shown

Title
Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions? Opeyemi Osakuade Simon King 29 0 0 25 Oct 2024
Probing self-attention in self-supervised speech models for cross-linguistic differences Sai Gopinath Joselyn Rodriguez MILM 56 0 0 04 Sep 2024
Self-supervised Speech Representations Still Struggle with African American Vernacular English Kalvin Chang Yi-Hui Chou Jiatong Shi Hsuan-Ming Chen Nicole Holliday Odette Scharenborg David R. Mortensen 28 2 0 26 Aug 2024
Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0 Marianne de Heer Kloots Willem H. Zuidema 27 3 0 03 Jul 2024
Self-Supervised Speech Representations are More Phonetic than Semantic Kwanghee Choi Ankita Pasad Tomohiko Nakamura Satoru Fukayama Karen Livescu Shinji Watanabe 29 14 0 12 Jun 2024
A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech Oli Danyi Liu Hao Tang Naomi H Feldman Sharon Goldwater 24 1 0 13 May 2024
Encoding of lexical tone in self-supervised models of spoken language Gaofei Shen Michaela Watkins A. Alishahi Arianna Bisazza Grzegorz Chrupala 30 4 0 25 Mar 2024
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models Oana Ignat Zhijing Jin Artem Abzaliev Laura Biester Santiago Castro ... Verónica Pérez-Rosas Siqi Shen Zekun Wang Winston Wu Rada Mihalcea LRM 24 6 0 21 May 2023
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 224 404 0 24 Feb 2021