5 citations · 7 across the 13 of their papers we have counts for
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Rethinking Batch Composition: Promoting Feature Diversity for Speech Enhancement
Mingchi Hou, Ina Kodrasi
Speech enhancement systems are commonly trained using randomly sampled mini-batches, which may contain limited diversity in intrinsic acoustic characteristics of the clean speech s…
Multiclass Speech Classification Under Noise Disparity
Mahdi Amiri, Sayantan Biswas, Mingchi Hou +2
We investigate noise disparity in multi-class speech classification tasks and develop a strategy to prevent classifiers from exploiting class-dependent noise characteristics. Build…
Augmenting Large Audio Language Models with Low-Level Acoustic Features for Dysarthric Speech Detection
Mahdi Amiri, Hatef Otroshi Shahreza, Pascal Frossard +1
Automatic dysarthric speech detection approaches can support traditional clinical diagnosis, which relies on costly and time-consuming evaluation by a speech and language pathologi…
Test-Time Compute Scaling for ASR with Depth-Conditioned Looped Transformers
Yacouba Kaloga, Shashi Kumar, Shakeel A. Sheikh +3
End-to-end ASR systems typically use fixed-depth acoustic encoders at inference, making it difficult to trade additional test-time computation for improved recognition without trai…
Geometric Latent Reasoning Induces Shorter Generations in LLMs
Shashi Kumar, Yacouba Kaloga, Petr Motlicek +2
Large language models solve complex problems by generating lengthy chains of explicit reasoning tokens. While effective, this makes reasoning expensive, length-sensitive, and const…
CLAP-Based Automatic Word Naming Recognition in Post-Stroke Aphasia
Yacouba Kaloga, Marina Laganaro, Ina Kodrasi
Conventional automatic word-naming recognition systems struggle to recognize words from post-stroke patients with aphasia because of disfluencies and mispronunciations, limiting re…
Data Augmentation for Pathological Speech Enhancement
Mingchi Hou, Enno Hermann, Ina Kodrasi
The performance of state-of-the-art speech enhancement (SE) models considerably degrades for pathological speech due to atypical acoustic characteristics and limited data availabil…