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Juan Zuluaga-Gomez

4 accepted papers

2025

Speech Data Selection for Efficient ASR Fine-Tuning using Domain Classifier and Pseudo-Label Filtering

ICASSP 2025accepted

In real-world speech data processing, the scarcity of annotated data and the abundance of unlabelled speech data present a significant challenge. To address this, we propose an efficient data selection pipeline for fine-tuning ASR models by generating pseudo-labels using WhisperX pipeline and select…

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2025

XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models

ICASSP 2025accepted

Self-supervised pretrained models exhibit competitive performance in automatic speech recognition (ASR) on finetuning, even with limited in-domain supervised data. However, popular pretrained models are not suitable for streaming ASR because they are trained with full attention context. In this pape…

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2023

Effectiveness of Text, Acoustic, and Lattice-Based Representations in Spoken Language Understanding Tasks

ICASSP 2023accepted

In this paper, we perform an exhaustive evaluation of different representations to address the intent classification problem in a Spoken Language Understanding (SLU) setup. We benchmark three types of systems to perform the SLU intent detection task: 1) text-based, 2) lattice-based, and a novel 3) m…

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2022

A Two-Step Approach to Leverage Contextual Data: Speech Recognition in Air-Traffic Communications

ICASSP 2022accepted

Automatic Speech Recognition (ASR), as the assistance of speech communication between pilots and air-traffic controllers, can significantly reduce the complexity of the task and increase the reliability of transmitted information. ASR application can lead to a lower number of incidents caused by mis…

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