Datasets:

Modalities:
Audio
Text
Languages:
Chinese
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< 1K
Libraries:
Datasets
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@@ -17,4 +17,4 @@ This dataset is a clean Text-to-Speech (TTS) dataset in Mandarin Chinese, design
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- Despite recording in a quiet room, subtle environmental noises (e.g., computer fan, distant traffic) were present. To address this, I did some noise reduction in Praat, selecting and removing noise at specific frequencies. However, to ensure clear sound, I didn't make too many modifications. In addition, I manually reviewed and adjusted segmentation boundaries by zooming into waveform views in Praat, ensuring each audio segment began with a slight breath or initial consonant and ended with a natural intonation drop, while strictly controlling leading/trailing silence to between 100–200 milliseconds. Although time-consuming, this approach ensured high purity and consistency at the sentence level, making the data more suitable for TTS model training.2
 
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+ Despite recording in a quiet room, subtle environmental noises (e.g., computer fan, distant traffic) were present. To address this, I did some noise reduction in Praat, selecting and removing noise at specific frequencies. However, to ensure clear sound, I didn't make too many modifications. In addition, I manually reviewed and adjusted segmentation boundaries by zooming into waveform views in Praat, ensuring each audio segment began with a slight breath or initial consonant and ended with a natural intonation drop, while strictly controlling leading/trailing silence to between 100–200 milliseconds. Although time-consuming, this approach ensured high purity and consistency at the sentence level, making the data more suitable for TTS model training.