Quantifying Language Variation Acoustically with Few Resources

5 May 2022

Papers citing "Quantifying Language Variation Acoustically with Few Resources"

8 / 8 papers shown

Title
The Zeno's Paradox of `Low-Resource' Languages H. Nigatu A. Tonja Benjamin Rosman Thamar Solorio Monojit Choudhury 135 5 0 28 Oct 2024
Automated Tone Transcription and Clustering with Tone2Vec Yi Yang Yiming Wang ZhiQiang Tang Jiahong Yuan 21 0 0 03 Oct 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 33 2 0 26 Aug 2024
Reading Miscue Detection in Primary School through Automatic Speech Recognition Lingyun Gao Cristian Tejedor-García H. Strik C. Cucchiarini 32 0 0 11 Jun 2024
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens Nay San Georgios Paraskevopoulos Aryaman Arora Xiluo He Prabhjot Kaur Oliver Adams Dan Jurafsky 33 7 0 03 Feb 2024
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents A. Owodunni Aditya Yadavalli Chris C. Emezue Tobi Olatunji Clinton Mbataku 30 1 0 02 Feb 2024
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation Martijn Bartelds Nay San Bradley McDonnell Dan Jurafsky Martijn B. Wieling 32 38 0 18 May 2023
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions Nay San Martijn Bartelds Blaine Billings Ella de Falco Hendi Feriza Johan Safri Wawan Sahrozi Ben Foley Bradley McDonnell Dan Jurafsky 18 9 0 09 Feb 2023