This Workflow transcribes a video or audio with multiple speakers. After transcription, it allocates the names of the speakers and groups and cleans passages from the two main speakers for further analysis. ## Associated Tutorial This workflows is part of the tutorial [Transcribing Audio and Video files with Automated Speech Recognition](https://training.galaxyproject.org/training-material/topics/digital-humanities/tutorials/Whisper_speech_recognition/tutorial.html), available in the [GTN](https://training.galaxyproject.org) ## Features * Includes [Galaxy Workflow Tests](https://training.galaxyproject.org/training-material/faqs/gtn/workflow_run_test.html) * Includes a [Galaxy Workflow Report](https://training.galaxyproject.org/training-material/faqs/galaxy/workflows_report_view.html) ## Thanks to... **Workflow Author(s)**: Daniela Schneider **Tutorial Author(s)**: [Daniela Schneider](https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/) **Tutorial Contributor(s)**: [Armin Dadras](https://training.galaxyproject.org/training-material/hall-of-fame/dadrasarmin/), [Saskia Hiltemann](https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/), [Daniela Schneider](https://training.galaxyproject.org/training-material/hall-of-fame/Sch-Da/) **Funder(s)**: [German Competence Center Cloud Technologies for Data Management and Processing](https://training.galaxyproject.org/training-material/hall-of-fame/deKCD/), [German Network for Bioinformatics Infrastructure Service, Training, Cooperations & Cloud Computing](https://training.galaxyproject.org/training-material/hall-of-fame/deNBI/), [Ministry of Science, Research and Arts](https://training.galaxyproject.org/training-material/hall-of-fame/mwk/) [](https://training.galaxyproject.org/training-material/)