23 citations · 37 across the 40 of their papers we have counts for
6 papers · 1 filter
The CMU-AIST submission for the ICME 2025 Audio Encoder Challenge
Shikhar Bharadwaj, Samuele Cornell, Kwanghee Choi +4
This technical report describes our submission to the ICME 2025 audio encoder challenge. Our submitted system is built on BEATs, a masked speech token prediction based audio encode…
OpenBEATs: A Fully Open-Source General-Purpose Audio Encoder
Shikhar Bharadwaj, Samuele Cornell, Kwanghee Choi +4
Masked token prediction has emerged as a powerful pre-training objective across language, vision, and speech, offering the potential to unify these diverse modalities through a sin…
ESPnet-EZ: Python-only ESPnet for Easy Fine-tuning and Integration
Masao Someki, Kwanghee Choi, Siddhant Arora +7
We introduce ESPnet-EZ, an extension of the open-source speech processing toolkit ESPnet, aimed at quick and easy development of speech models. ESPnet-EZ focuses on two major aspec…
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification
Eun Jung Yeo, Kwanghee Choi, Sunhee Kim +1
This paper proposes an improved Goodness of Pronunciation (GoP) that utilizes Uncertainty Quantification (UQ) for automatic speech intelligibility assessment for dysarthric speech.…
Opening the Black Box of wav2vec Feature Encoder
Kwanghee Choi, Eun Jung Yeo
Self-supervised models, namely, wav2vec and its variants, have shown promising results in various downstream tasks in the speech domain. However, their inner workings are poorly un…
Temporal Knowledge Distillation for On-device Audio Classification
Kwanghee Choi, Martin Kersner, Jacob Morton +1
Improving the performance of on-device audio classification models remains a challenge given the computational limits of the mobile environment. Many studies leverage knowledge dis…