262 citations · 589 across the 24 of their papers we have counts for
4 papers · 1 filter
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang +1
The performance of acoustic models degrades notably in noisy environments. Speech enhancement (SE) can be used as a front-end strategy to aid automatic speech recognition (ASR) sys…
Deep Complex U-Net with Conformer for Audio-Visual Speech Enhancement
Shafique Ahmed, Chia-Wei Chen, Wenze Ren +7
Recent studies have increasingly acknowledged the advantages of incorporating visual data into speech enhancement (SE) systems. In this paper, we introduce a novel audio-visual SE…
A Study on Incorporating Whisper for Robust Speech Assessment
Ryandhimas E. Zezario, Yu-Wen Chen, Szu-Wei Fu +3
This research introduces an enhanced version of the multi-objective speech assessment model--MOSA-Net+, by leveraging the acoustic features from Whisper, a large-scaled weakly supe…
Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using Whisper and Metadata
Ryandhimas E. Zezario, Fei Chen, Chiou-Shann Fuh +2
Automated speech intelligibility assessment is pivotal for hearing aid (HA) development. In this paper, we present three novel methods to improve intelligibility prediction accurac…