Transcription
In the field of qualitative analysis, transcribing audio and video data is a crucial step that can be done in two main ways: manually or with the help of artificial intelligence (AI). Both approaches have their specific advantages and challenges, and the choice between them can significantly influence the efficiency and accuracy of research work. This article explores the advantages and challenges of each method to help researchers make informed decisions.
Transcription
The quality of a transcription is essential to ensure that the information is correctly understood. One of the most commonly used metrics to assess this quality is the Word Error Rate (WER). This article explores the importance of transcription quality, what WER is, evaluation metrics, factors affecting quality, how to improve transcription, comparison between different tools, and the importance of human review.
Explanation
Comparison of qualitative methodologies: phenomenology, ethnography, grounded theory, case study, and more.