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[Free Special Lecture] Generate Audio for My Lecture with Local TTS and Verify It Against the Transcript

Synthesize a Korean sentence with local Qwen3-TTS, then check the original audio to identify where Whisper’s transcription differs in numbers, units, or negation. Refine pauses between sentences using real examples and waveforms, and review AI disclosure standards for each platform.

18 learners are taking this course

Level Beginner

Course period Unlimited

openai-whisper
openai-whisper
tts
tts
Python
Python
speech-recognition
speech-recognition
AI
AI
openai-whisper
openai-whisper
tts
tts
Python
Python
speech-recognition
speech-recognition
AI
AI

What you will gain after the course

  • One Korean synthesized voice created with the default speaker

  • A review sheet for comparing the manuscript with the transcript and recording listening results

Recommended for
these people

Who is this course right for?

  • Anyone who wants to create Korean narration locally for lectures and videos.

  • For those who want to check numbers, units, and negation words in TTS audio and automatic subtitles.

Need to know before starting?

  • You can get started without installing anything using the provided audio and worksheet.

  • The local synthesis exercise is based on an Apple Silicon Mac and a prepared model.

Hello
This is gptssam

366

Learners

10

Reviews

4.6

Rating

16

Courses

I’m GPT Teacher, researching and building AI agent workflows and content automation systems.

After implementing and validating trending global AI technologies and workflows firsthand, I teach them so that even non-developers can reproduce the same setup on their own computers in just 10 minutes by sharing the execution logs, prompt specifications, and open-source starter kits as complete files. Instead of making exaggerated promises about views or revenue, I show you with data and code what actually worked and how it was validated.

[Key Research and Course Areas]

  • Building AI Agents & a Second Brain: Knowledge compilation and workflow automation based on Claude Code · Google Antigravity · Karpathy LLM Wiki

  • AI video and content production systems: Fact-checking and automated rendering pipelines combining Google Flow (Veo), TTS, and agents

  • Integrity verification automation: A lint pipeline that comprehensively checks broken links and factual accuracy across scripts, wikis, and data

[Official Channels and Open-Source Practice Lab]

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