Papers by Ahmet Gunduz
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only (2023.acl-industry)
Copied to clipboard
| Challenge: | EvolveMT is a method for the efficient combination of multiple machine translation engines. |
| Approach: | They propose a method that selects the output from one engine for each segment and uses online learning techniques to predict the most appropriate system for each translation request. |
| Outcome: | The proposed method achieves similar translation accuracy at a lower cost than selecting the best translation of each segment from all translations using an MT quality estimator. |
An Automated End-to-End Open-Source Software for High-Quality Text-to-Speech Dataset Generation (2024.lrec-main)
Copied to clipboard
Ahmet Gunduz, Kamer Ali Yuksel, Kareem Darwish, Golara Javadi, Fabio Minazzi, Nicola Sobieski, Sébastien Bratières
| Challenge: | Text-to-speech (TTS) models require data availability and quality of training data. |
| Approach: | They propose an end-to-end tool to generate high-quality datasets for text-to speech models . language-specific phoneme distribution is integrated into sample selection, they argue . |
| Outcome: | The proposed tool aims to streamline the dataset creation process for voice-based technologies by integrating language-specific phonemes into sample selection and quality assurance of recordings. |