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20192026
most citedWhat is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions

2 citations · 3 across the 14 of their papers we have counts for

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13 papers · 1 filter

eess.AS2026

BiEAR: A Human Auditory-Inspired Adaptive Binaural Front-end for Multi-Speaker Localisation and Distance Estimation

Hanyu Meng, Eliathamby Ambikairajah, Vidhyasaharan Sethu +2

We present BiEAR, a human auditory-inspired adaptive binaural front-end for multi-speaker localisation and distance estimation. Inspired by medial olivocochlear (MOC) feedback in h…

eess.AS2026

Continual Adaptation for Pacific Indigenous Speech Recognition

Yang Xiao, Aso Mahmudi, Nick Thieberger +3

Speech foundation models struggle with low-resource Pacific Indigenous languages because of severe data scarcity. Furthermore, full fine-tuning risks catastrophic forgetting. To ad…

eess.AS2025

Adaptive Per-Channel Energy Normalization Front-end for Robust Audio Signal Processing

Hanyu Meng, Vidhyasaharan Sethu, Eliathamby Ambikairajah +2

In audio signal processing, learnable front-ends have shown strong performance across diverse tasks by optimizing task-specific representation. However, their parameters remain fix…

eess.AS2025

Characterization of Speech Similarity Between Australian Aboriginal and High-Resource Languages: A Case Study on Dharawal

Ting Dang, Trini Manoj Jeyaseelan, Eliathamby Ambikairajah +1

Australian Aboriginal languages are of significant cultural and linguistic value but remain severely underrepresented in modern speech AI systems. While state-of-the-art speech fou…

eess.AS2025

Exploring Length Generalization For Transformer-based Speech Enhancement

Qiquan Zhang, Hongxu Zhu, Xinyuan Qian +2

Transformer network architecture has proven effective in speech enhancement. However, as its core module, self-attention suffers from quadratic complexity, making it infeasible for…

eess.AS2025

Should Audio Front-ends be Adaptive? Comparing Learnable and Adaptive Front-ends

Qiquan Zhang, Buddhi Wickramasinghe, Eliathamby Ambikairajah +2

Hand-crafted features, such as Mel-filterbanks, have traditionally been the choice for many audio processing applications. Recently, there has been a growing interest in learnable…