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AlienKevin
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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language:
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- yue
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pretty_name: SBS Cantonese Speech Corpus
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size_categories:
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- 100K<n<1M
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---
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# SBS Cantonese Speech Corpus
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This speech corpus contains 435 hours of [SBS Cantonese](https://www.sbs.com.au/language/chinese/zh-hant/podcast/sbs-cantonese) podcasts from Auguest 2022 to October 2023.
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There are 2,519 episodes and each episode is split into segments that are at most 10 seconds long. In total, there are 189,216 segments in this corpus.
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Here is a breakdown on the categories of episodes present in this dataset:
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<style>
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table th:first-of-type {
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width: 5%;
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}
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table th:nth-of-type(2) {
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width: 10%;
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}
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table th:nth-of-type(3) {
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width: 50%;
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}
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</style>
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| Category | SBS Channels | Episodes |
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|-------------------|----------------------|-------|
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| news | 中文新聞, 新聞簡報 | 622 |
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| business | 寰宇金融 | 148 |
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| vaccine | 疫苗快報 | 71 |
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| gardening | 園藝趣談 | 58 |
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| tech | 科技世界 | 56 |
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| health | 健康快樂人 | 53 |
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| culture | 文化360 | 49 |
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| english | 學英語 | 41 |
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| expert | 專家話你知 | 37 |
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| interview | 我不是名人 | 20 |
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| career | 澳洲招職 | 18 |
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| food | 美食速遞 | 18 |
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| uncategorized | n/a | 1328 |
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* Uncategorized episodes are mostly news but also contains other categories listed above.
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## Dataset Details
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### Dataset Description
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<!-- Provide a longer summary of what this dataset is. -->
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- **Curated by:** Kevin Li
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- **Language(s):** Cantonese, English (only in podcasts categorized as "english")
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- **License:** Creative Commons Attribution Non-Commercial 4.0
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### Scraper
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<!-- Provide the basic links for the dataset. -->
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- **Repository:** https://github.com/AlienKevin/sbs_cantonese
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## Uses
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Each episode is split into segments using [silero-vad](https://github.com/snakers4/silero-vad).
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Since silero-vad is not trained on Cantonese data, the segmentation is not ideal and often break sentences in the middle.
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Hence, this dataset is not intended to be used for supervised ASR. Instead, it is intended to be used for self-supervised
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speech pretraining, like training WavLM, HuBERT, and Wav2Vec.
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Each segment is stored as a monochannel FLAC file with a sample rate of 16k Hz. You can find the segments under the `audio/` folder,
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where groups of segments are bundled into a .tar.gz file for ease of distribution.
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