audio-transcribe-summarize

Audio/Video Transcription & Summarization

Transcribe audio/video files using the SenseASR API (api.senseaudio.cn), then summarize the content into structured notes.

{baseDir} refers to this skill's directory.

Prerequisites

Quick Start

1. Run the transcription script:

python {baseDir}/scripts/transcribe.py  [--model sense-asr-pro] [--language zh] [--speakers] [--sentiment] [--translate en]

2. The script outputs a transcript .txt file alongside the source file 3. Read the transcript and generate a summary (see Summary Format below)

Workflow

Step 1: Assess the Audio File

Check file size and format:

Step 2: Choose the Right Model

| Model | Use When | |-------|----------| | sense-asr-lite | Quick batch transcription, simple audio, cost-sensitive | | sense-asr | General transcription, need speaker separation or timestamps | | sense-asr-pro | High accuracy needed: meetings, interviews, complex audio | | sense-asr-deepthink | Noisy audio, dialects, heavy jargon, speech-to-clean-text |

Default to sense-asr-pro for best quality.

Step 3: Transcribe

Run the transcription script. Key options:

# Basic transcription
python {baseDir}/scripts/transcribe.py recording.mp3
Meeting with multiple speakers + emotion
python {baseDir}/scripts/transcribe.py meeting.wav \
  --model sense-asr-pro \
  --speakers --max-speakers 4 \
  --sentiment \
  --timestamps segment
Transcribe and translate to English
python {baseDir}/scripts/transcribe.py lecture.mp3 \
  --model sense-asr \
  --translate en

Step 4: Summarize

After transcription, read the transcript file and produce a summary using the format below.

Summary Format

Generate summaries in this structure:

# [Title - inferred from content]
Source: filename.mp3
Duration: X min Y sec
Date: YYYY-MM-DD
Speakers: [if speaker diarization was used]
Key Points
Point 1
Point 2
...
Detailed Summary
[2-4 paragraph summary of the content organized by topic/chronology]
Action Items
[ ] Action item 1 (assigned to Speaker X, if applicable)
[ ] Action item 2
Notable Quotes
> "Direct quote from transcript" — Speaker X, [timestamp if available]
Full Transcript

Click to expand full transcript
[Full transcript text here, with speaker labels and timestamps if available]

Adapt the template based on content type:

API Reference

For full SenseASR API parameters and response formats, see api-reference.md.

1. Run the transcription script:

python {baseDir}/scripts/transcribe.py  [--model sense-asr-pro] [--language zh] [--speakers] [--sentiment] [--translate en]

2. The script outputs a transcript .txt file alongside the source file 3. Read the transcript and generate a summary (see Summary Format below)