metadata

language:
  - yue
license: cc0-1.0
size_categories:
  - 10K<n<100K
task_categories:
  - automatic-speech-recognition
  - text-to-speech
  - text-generation
  - feature-extraction
  - audio-to-audio
  - audio-classification
  - text-to-audio
pretty_name: c
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - cantonese
  - audio
  - art
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: id
      dtype: string
    - name: episode_id
      dtype: int64
    - name: audio_duration
      dtype: float64
    - name: transcription
      dtype: string
  splits:
    - name: train
      num_bytes: 38792803349.64
      num_examples: 39190
  download_size: 38782029113
  dataset_size: 38792803349.64

張悦楷講《三國演義》語音數據集

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English

呢個係張悦楷講《三國演義》語音數據集。張悦楷係廣州最出名嘅講古佬 / 粵語説書藝人。佢從上世紀七十年代開始就喺廣東各個收音電台度講古，佢把聲係好多廣州人嘅共同回憶。本數據集《三國演義》係佢最知名嘅作品一。

數據集用途：

TTS（語音合成）訓練集
ASR（語音識別）訓練集或測試集
各種語言學、文學研究
直接聽嚟欣賞藝術！

TTS 效果演示：https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaai_tts

説明

所有文本都根據 https://jyutping.org/blog/typo/ 同 https://jyutping.org/blog/particles/ 規範用字。
所有文本都使用全角標點，冇半角標點。
所有文本都用漢字轉寫，無阿拉伯數字無英文字母
所有音頻源都存放喺/webm，為方便直接用作訓練數據，切分後嘅音頻都重採樣升 44100Hz 放喺 wav/

要使用呢個數據集，可以喺 Python 入面直接跑：

使用

from datasets import load_dataset

ds = load_dataset("CanCLID/zoengjyutgaai_saamgwokjinji")

如果想單純將所有 wav 文件同對應嘅轉寫複製落嚟，可以跑下面嘅命令行嚟針對克隆個wav/路經，避免將成個 repo 都克隆落嚟浪費空間同下載時間：

git clone --filter=blob:none --sparse https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji

cd zoengjyutgaai_saamgwokjinji

git sparse-checkout init --cone
git sparse-checkout set wav
git checkout

數據集構建流程

本數據集嘅收集、構建過程係：

從 YouTube 或者國內評書網站度下載錄音源文件，一般都係每集半個鐘長嘅 .webm 或者 .mp3。
用加字幕工具幫呢啲錄音加字幕，得到對應嘅 .srt 文件。
將啲源錄音用下面嘅命令儘可能無壓縮噉轉換成 .wav 格式。
運行cut.py，將每一集 .wav 按照 .srt 入面嘅時間點切分成一句一個 .wav，然後對應嘅文本寫入本數據集嘅 xxx.csv。
然後打開一個 IPython，逐句跑下面嘅命令，將啲數據推上 HuggingFace。

from datasets import load_dataset
from huggingface_hub import login
dataset = load_dataset('audiofolder', data_dir='./wav')
# 檢查下讀入嘅數據有冇問題
dataset['train'][0]
# 準備好個 token 嚟登入
login()
# 推上 HuggingFace datasets
dataset.push_to_hub("CanCLID/zoengjyutgaai_saamgwokjinji")

將`.webm`無損轉為`.wav`

首先要安裝 ffmpeg，然後運行：

ffmpeg -i "001.webm" -vn -ar 44100 -c:a pcm_s16le "001.wav"

如果唔想指定採樣率，儘可能無損轉換，可以將上面嘅-ar 44100刪去。本數據集入面所有 wav 都已經轉為 44100 採樣率。

Zoeng Jyut Gaai story-telling Romance of the Three Kingdoms voice dataset

This is a speech dataset of Zoeng Jyut Gaai story-telling Romance of the Three Kingdoms. Zoeng Jyut Gaai is a famous actor, stand-up commedian and story-teller (講古佬) in 20th centry Canton. His voice remains in the memories of thousands of Cantonese people. This dataset is built from one of his most well-known story-telling piece: Romance of the Three Kingdoms.

Use case of this dataset:

TTS (Text-To-Speech) training set
ASR (Automatic Speech Recognition) training or eval set
Various linguistics / art analysis
Just listen and enjoy the art piece!

TTS demo: https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaai_tts

Introduction

All transcriptions follow the prescribed orthography detailed in https://jyutping.org/blog/typo/ and https://jyutping.org/blog/particles/
All transcriptions use full-width punctuations, no half-width punctuations is used.
All transcriptions are in Chinese characters, no Arabic numbers or Latin letters.
All source audio are stored in /webm. For the convenice of training, segmented audios are resampled into 44.1 kHz and stored in wav/.

Usage

To use this dataset, simply run in Python:

from datasets import load_dataset

ds = load_dataset("CanCLID/zoengjyutgaai_saamgwokjinji")

To save space and downloading time and avoid clonin the entire repo, you can selectively clone only the wav./ directory which contains all the wav files and transcriptions:

git clone --filter=blob:none --sparse https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji

cd zoengjyutgaai_saamgwokjinji

git sparse-checkout init --cone
git sparse-checkout set wav
git checkout