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  • SloBENCH evaluation framework

    The evaluation framework contains public evaluation scripts. All the scripts contain additional Dockerfiles that allow for platform-independent evaluation and exact comparison of results. Pre-built Docker images are available in slobench/eval DockerHub repository. The evaluation framework is used and maintained by the SloBENCH leaderboard Web site team. SloBENCH submitters are able to check their compliance of submissions and evaluate theri model on training/validation data prior to submission. The initial version of SloBENCH contains evaluation scripts with examples of training and testing datasets for nine different tasks: named entity recognition, part-of-speech tagging, lemmatization, dependency parsing, semantic role labeling, translation (ENG-SLO, SLO-ENG), summarization and question answering.
  • MOSI: TTS evaluation tool (22.01)

    EN: MOSI is a text-to-speech (TTS) evaluation platform. The platform is focused on listening tests. Organizers can upload audio clips to be evaluated using Mean opinion score (MOS), AB or ABX setups. The platform allows the organizers to arrange and plan the evaluations, customize the setup, send out invite links to participants and view and download the results. A detailed setup description can be found in README.md and a user guide can be found in HOW_TO_USE.md. IS: MOSI er tól/vettvangur þar sem hljóðgerving er metin. MOSI er búinn til fyrir hlustunarpróf. Notendur MOSA geta hlaðið upp hljóðklippum og notað MOS-, AB- eða ABX-fyrirkomulag. MOSI gerir skipuleggjendum kleift að skipuleggja kannanir, stilla þær eftir sinni hentisemi, senda boðshlekki til þátttakenda og skoða og hlaða niður niðurstöðum. Uppsetningarleiðbeiningar má finna í readme.md og notkunarleiðbeiningar má finna í HOW_TO_USE.md.