1 code implementation • 26 Feb 2024 • Ahmet Gunduz, Kamer Ali Yuksel, Kareem Darwish, Golara Javadi, Fabio Minazzi, Nicola Sobieski, Sebastien Bratieres
Data availability is crucial for advancing artificial intelligence applications, including voice-based technologies.
1 code implementation • 20 Jan 2024 • Golara Javadi, Kamer Ali Yuksel, Yunsu Kim, Thiago castro Ferreira, Mohamed Al-Badrashiny
The findings suggest that NoRefER is not merely a tool for error detection but also a comprehensive framework for enhancing ASR systems' transparency, efficiency, and effectiveness.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • 21 Jun 2023 • Kamer Ali Yuksel, Thiago Ferreira, Golara Javadi, Mohamed El-Badrashiny, Ahmet Gunduz
The self-supervised NoRefER exploits the known quality relationships between hypotheses from multiple compression levels of an ASR for learning to rank intra-sample hypotheses by quality, which is essential for model comparisons.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • 21 Jun 2023 • Kamer Ali Yuksel, Thiago Ferreira, Ahmet Gunduz, Mohamed Al-Badrashiny, Golara Javadi
The common standard for quality evaluation of automatic speech recognition (ASR) systems is reference-based metrics such as the Word Error Rate (WER), computed using manual ground-truth transcriptions that are time-consuming and expensive to obtain.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 26 May 2023 • Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Oliveira
Multi-task networks rely on effective parameter sharing to achieve robust generalization across tasks.
1 code implementation • 29 Sep 2021 • Golara Javadi, Frederick Tung, Gabriel L. Oliveira
Parameter sharing approaches for deep multi-task learning share a common intuition: for a single network to perform multiple prediction tasks, the network needs to support multiple specialized execution paths.