CanCLID/zoengjyutgaai_saamgwokjinji

張悦楷講《三國演義》語音數據集

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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/
• 所有源字幕 SRT 文件都存放喺 srt/ 路經下，搭配 webm 可以直接作為帶字幕錄音賞聽。
• cut.py 係切分腳本，可以將對應嘅 wav 根據 srt 切分成短句並生成一個文本轉寫 csv。
• stats.py 係統計腳本，運行佢就會顯示成個數據集嘅各項統計數據。

下載使用

要下載使用呢個數據集，可以喺 Python 入面直接跑：

from datasets import load_dataset

ds = load_dataset("CanCLID/zoengjyutgaai_saamgwokjinji")

如果想單純將 wav/ 入面所有嘢下載落嚟，可以跑下面嘅 Python 代碼，注意要安裝 pip install --upgrade huggingface_hub 先：

from huggingface_hub import snapshot_download

# 如果你淨係想下載啲字幕或者源音頻，噉就將下面嘅 `wav/*` 改成 `srt/*` 或者 `webm/*`
snapshot_download(repo_id="CanCLID/zoengjyutgaai_saamgwokjinji",allow_patterns="wav/*",local_dir="./",repo_type="dataset")

如果唔想用 python，你亦都可以用命令行叫 git 針對克隆個wav/或者其他路經，避免將成個 repo 都克隆落嚟浪費空間同下載時間：

mkdir zoengjyutgaai_saamgwokjinji
cd zoengjyutgaai_saamgwokjinji
git init

git remote add origin https://huggingface.co./datasets/CanCLID/zoengjyutgaai_saamgwokjinji
git sparse-checkout init --cone

# 指定凈係下載個別路徑
git sparse-checkout set wav

# 開始下載
git pull origin main

數據集構建流程

本數據集嘅收集、構建過程係：

1. 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。
2. 用加字幕工具幫呢啲錄音加字幕，得到對應嘅 .srt 文件。
3. 將啲源錄音用下面嘅命令儘可能無壓縮噉轉換成 .wav 格式。
4. 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。
5. 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 "webm/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/.
• All source subtitle SRT files are stored in srt/. Use them with the webm files to enjoy subtitled storytelling pieces.
• cut.py is the script for cutting wav audios into smaller senteneces based on the srt, and generates a csv file for transcriptions.
• stats.py is the script for showing stats of this datasets.

Usage

To use this dataset, simply run in Python:

from datasets import load_dataset

ds = load_dataset("CanCLID/zoengjyutgaai_saamgwokjinji")

If you only want to download a certain directory to save time and space from cloning the entire repo, run the Python codes below. Make sure you have pip install --upgrade huggingface_hub first：

from huggingface_hub import snapshot_download

# If you only want to download the source audio or the subtitles, change the `wav/*` below into `srt/*` or `webm/*`
snapshot_download(repo_id="CanCLID/zoengjyutgaai_saamgwokjinji",allow_patterns="wav/*",local_dir="./",repo_type="dataset")

If you don't want to run python codes and want to do this via command lines, you can selectively clone only a directory of the repo:

mkdir zoengjyutgaai_saamgwokjinji
cd zoengjyutgaai_saamgwokjinji
git init

git remote add origin https://huggingface.co./datasets/CanCLID/zoengjyutgaai_saamgwokjinji
git sparse-checkout init --cone

# Tell git which directory you want
git sparse-checkout set wav

# Pull the content
git pull origin main