End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering Sub-Challenge

20 July 2022

Papers citing "End-to-End and Self-Supervised Learning for ComParE 2022 Stuttering Sub-Challenge"

7 / 7 papers shown

Title
Impact of Speech Mode in Automatic Pathological Speech Detection S. A. Sheikh Ina Kodrasi 34 3 0 14 Jun 2024
A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem Sebastian P. Bayerl Dominik Wagner Ilja Baumann Florian Honig Tobias Bocklet Elmar Nöth Korbinian Riedhammer 30 12 0 30 May 2023
Advancing Stuttering Detection via Data Augmentation, Class-Balanced Loss and Multi-Contextual Deep Learning S. A. Sheikh Md. Sahidullah F. Hirsch Slim Ouni 24 16 0 21 Feb 2023
Dysfluencies Seldom Come Alone -- Detection as a Multi-Label Problem Sebastian P. Bayerl Dominik Wagner Florian Honig Tobias Bocklet Elmar Nöth Korbinian Riedhammer 39 6 0 28 Oct 2022
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 137 352 0 21 May 2022
SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter Colin S. Lea Vikramjit Mitra A. Joshi S. Kajarekar Jeffrey P. Bigham 50 95 0 24 Feb 2021
A Review of Speaker Diarization: Recent Advances with Deep Learning Tae Jin Park Naoyuki Kanda Dimitrios Dimitriadis Kyu Jeong Han Shinji Watanabe Shrikanth Narayanan VLM 274 327 0 24 Jan 2021