Academic Interview Professional Processing Program
Improving the quality of transcription of academic interviews requires a systematic approach:
- Professional model: Opening of a specialized thesaurus for "academic research" (including terminology from various disciplines)
- logical reconstruction: Using semantic analysis to reorganize fragmented conversations into coherent narratives
- quotation mark: Automatic identification and labeling of literature citations
- concept mapping: Generate knowledge network visualization charts for research topics
Quality control steps:
1. Collecting keywords in participants' research areas prior to the interviews
2. Loading customized academic dictionaries when transcribing
3. Adoption of "rigorous mode" (sacrificing some speed for higher accuracy)
4. Secondary verification with original recording for sentence-by-sentence review
5. Final output conforms to academic normative formats such as APA/MLA
Extended application: the processed text can be imported into qualitative analysis software such as NVivo to realize the coding and analysis of interview data.
This answer comes from the articleSimple Listening Note: Baidu's audio/video to text and AI summarization toolThe
