---
license: other
language:
- zh
language_bcp47:
- zh-TW
task_categories:
- automatic-speech-recognition
- text-to-speech
pretty_name: Hung-yi Lee Lecture ASR/TTS
tags:
- asr
- tts
- speech
- mandarin
- taiwan
- lecture
size_categories:
- 10K<n<100K
---

# Hung-yi Lee Lecture ASR/TTS

This dataset contains speech segments aligned with subtitles from Hung-yi Lee lecture videos.
It is intended for Mandarin ASR and TTS experiments.

## Dataset Details

- Speaker: Hung-yi Lee
- Language: Traditional Chinese / Taiwan Mandarin (`zh-TW`)
- Sampling rate: 16 kHz
- Audio format in the published dataset: embedded FLAC audio in Parquet shards
- Source videos with audio: 15
- Segments: 29043
- Total duration: 16.92 hours
- Courses: 機器學習2026, 生成式人工智慧與機器學習導論2025

## Columns

- `audio`: audio segment
- `text`: subtitle text for ASR/TTS
- `normalized_text`: currently identical to `text`
- `language`: `zh-TW`
- `speaker_id`: `hung_yi_lee`
- `source_course`, `source_title`, `source_youtube_id`, `source_url`: source metadata
- `start`, `end`, `duration`: segment timing in seconds
- `segment_index`: original VTT cue index

## Notes

Segments are cut from the available MP4 files using their paired VTT subtitles.
Items that only had subtitles/transcripts but no downloaded audio are not included as audio samples.
Subtitle quality follows the source captions and may require further cleaning for strict TTS training.