Optimizing Estonian TV Subtitles with Semi-supervised Learning and LLMs
Fedorchenko, Artem, Alumäe, Tanel
–arXiv.org Artificial Intelligence
For instance, Both iterative pseudo-labeling and LLM-based recent studies (Mykhalevych and Preply, 2024; post-editing have been an active area of research Kim et al., 2023) have revealed that 50% of Americans in the context of verbatim automatic speech and 85% of the Netflix users overall frequently recognition (ASR). Pseudo-labeling based semisupervised watch TV and streaming video content learning in ASR has been studied since with subtitles. Studies show that subtitles can enhance at least (Zavaliagkos et al., 1998) and has been understanding and memory retention. A lot later investigated in several works, e.g. by Veselỳ of viewers choose to enjoy their content quietly et al. (2013); Xu et al. (2020).
arXiv.org Artificial Intelligence
Jan-9-2025
- Country:
- Europe
- Estonia (0.14)
- Faroe Islands (0.14)
- Europe
- Genre:
- Research Report > New Finding (0.94)
- Industry:
- Leisure & Entertainment (1.00)
- Media > Television (0.69)
- Technology: