3 papers
cs.SD2026
Phonetic Error Analysis of Raw Waveform Acoustic Models
Erfan Loweimi, Zhengjun Yue, Andrea Carmantini +3
We analyse error patterns of raw waveform acoustic models on TIMIT phone recognition beyond the overall phone error rate (PER). PER is decomposed across three broad phonetic class…
eess.AS2026
UNet-Based Fusion and Exponential Moving Average Adaptation for Noise-Robust Speaker Recognition
Chong-Xin Gan, Peter Bell, Man-Wai Mak +4
The joint training of speech enhancement and speaker embedding networks for speaker recognition is widely adopted under noisy acoustic environments. While effective, this paradigm…
cs.SD2024
Phonetic Error Analysis of Raw Waveform Acoustic Models with Parametric and Non-Parametric CNNs
Erfan Loweimi, Andrea Carmantini, Peter Bell +2
In this paper, we analyse the error patterns of the raw waveform acoustic models in TIMIT's phone recognition task. Our analysis goes beyond the conventional phone error rate (PER)…