Use Transcribe Skill to convert meeting recordings and podcasts into searchable text
### 正式翻译： This article introduces OpenAI's official Agent Skill `transcribe`: Based on `gpt-4o-mini-transcribe` and `gpt-4o-transcribe-diarize`, it converts audio and video files into text, with support for speaker diarization and known speaker prompts. It explains the installation directories and activation methods in Codex, Cursor and Claude Code, provides reproducible examples including fast transcription with the bundled CLI and `diarized_json` output, and lists precautions such as the 25MB file size limit, automatic chunking for long audio, and the fact that the diarize model does not support prompts.
Read MoreSpeaker Log Implementation Based on PyTorch (Speaker Separation)
This article introduces the speaker diarization feature of the VoiceprintRecognition_Pytorch framework implemented based on PyTorch, which supports various advanced models and data preprocessing methods. By executing the `infer_speaker_diarization.py` script or using the GUI interface program, audio can be speaker-separated and results displayed. The output includes the start and end times of each speaker and their identity information (registration is required first). Additionally, the article provides solutions for Chinese names in the Ubuntu system... （注：原文末尾“解决中文名”表述不完整，已保留原文未尽部分的省略格式，完整内容需参考原文后续章节）
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