A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem

30 May 2023

Papers citing "A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem"

7 / 7 papers shown

Title
Self-supervised Speech Models for Word-Level Stuttered Speech Detection Yi-Jen Shih Zoi Gkalitsiou A. Dimakis David Harwath 45 1 0 16 Sep 2024
Findings of the 2024 Mandarin Stuttering Event Detection and Automatic Speech Recognition Challenge Hongfei Xue Rong Gong Mingchen Shao Xin Xu L. xilinx Wang ... Yong Qin Jun Du Ming Li Binbin Zhang Bin Jia 26 1 0 09 Sep 2024
SSDM: Scalable Speech Dysfluency Modeling Jiachen Lian Xuanru Zhou Z. Ezzes Jet M J Vonk Brittany Morin D. Baquirin Zachary Mille M. G. Tempini Gopala Anumanchipalli AuLLM 32 1 0 29 Aug 2024
Large Language Models for Dysfluency Detection in Stuttered Speech Dominik Wagner Sebastian P. Bayerl Ilja Baumann K. Riedhammer Elmar Nöth Tobias Bocklet 45 3 0 16 Jun 2024
AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection Rong Gong Hongfei Xue L. xilinx Wang Xin Xu Qisheng Li ... Yong Qin Binbin Zhang Jun Du Jia Bin Ming Li 25 6 0 11 Jun 2024
Optimizing Multi-Stuttered Speech Classification: Leveraging Whisper's Encoder for Efficient Parameter Reduction in Automated Assessment Huma Ameer Seemab Latif Iram Tariq Bhatti 40 1 0 09 Jun 2024
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 45 94 0 24 Feb 2021