Update README.md
Browse files
README.md
CHANGED
|
@@ -17,9 +17,9 @@
|
|
| 17 |
|
| 18 |
## 📖 Dataset Description / 数据集简介
|
| 19 |
|
| 20 |
-
**WordVoice-5A** is a large-scale bilingual (Mandarin and English) dataset containing approximately **4.7k hours** of speech with fine-grained **word-level acoustic annotations**, designed for high-precision controllable Text-to-Speech (TTS). It addresses the scarcity of large-scale, high-quality word-aligned datasets with explicit acoustic annotations in the open-source community. Through a linguistically guided automatic annotation pipeline based on empirical acoustic distributions, the dataset provides five core acoustic attributes for each word: **Duration, Boundary, Energy, Pitch, and Tone**. It aims to break the "black-box" nature of LLM-based TTS and facilitate future research in fine-grained speech generation and acoustic modeling.
|
| 21 |
|
| 22 |
-
**WordVoice-5A** 是一个约 **4.7k 小时**的大规模中英双语字/词级声学属性标注数据集,专为高精度、细粒度可控语音合成(TTS)设计。该数据集针对当前开源社区缺乏大规模、高质量字/词级对齐与显式声学标注数据的问题,提出了一套结合语言学规则与真实声学统计分布的自动化标注 Pipeline,为每个字/词提供 **时长(Duration)、边界(Boundary)、能量(Energy)、音高(Pitch)和音调(Tone)** 五维核心属性。WordVoice-5A 致力于打破 LLM-TTS 的"黑盒"特性,推动细粒度语音生成与声学建模研究。
|
| 23 |
|
| 24 |
---
|
| 25 |
|
|
@@ -51,7 +51,7 @@ The **WordVoice-5A** dataset contains approximately **4,684 hours** of high-qual
|
|
| 51 |
|
| 52 |
- **5-Dimensional Word-Level Annotations / 五维字级标注**
|
| 53 |
Each character/word is annotated with **Duration, Boundary, Energy, Pitch, and Tone**.
|
| 54 |
-
每个字/词均包含精准的 **时长(Duration)**、**5级声学边界(Boundary)**、**能量(Energy)**、**音高(Pitch)** 和 **7类音调(Tone)** 标注。
|
| 55 |
|
| 56 |
- **Massive Bilingual Corpus / 超大规模双语语料**
|
| 57 |
The dataset contains **2,546 hours of Mandarin** and **2,138 hours of English**, making it one of the largest publicly available corpora with comprehensive word-level acoustic annotations.
|
|
|
|
| 17 |
|
| 18 |
## 📖 Dataset Description / 数据集简介
|
| 19 |
|
| 20 |
+
**WordVoice-5A** is a large-scale bilingual (Mandarin and English) dataset containing approximately **4.7k hours** of speech with fine-grained **word-level acoustic annotations**, designed for high-precision controllable Text-to-Speech (TTS). It addresses the scarcity of large-scale, high-quality word-aligned datasets with explicit acoustic annotations in the open-source community. Through a linguistically guided automatic annotation pipeline based on empirical acoustic distributions, the dataset provides five core acoustic attributes for each word: **Duration, Acoustic Boundary, Energy, Pitch, and Tone**. It aims to break the "black-box" nature of LLM-based TTS and facilitate future research in fine-grained speech generation and acoustic modeling.
|
| 21 |
|
| 22 |
+
**WordVoice-5A** 是一个约 **4.7k 小时**的大规模中英双语字/词级声学属性标注数据集,专为高精度、细粒度可控语音合成(TTS)设计。该数据集针对当前开源社区缺乏大规模、高质量字/词级对齐与显式声学标注数据的问题,提出了一套结合语言学规则与真实声学统计分布的自动化标注 Pipeline,为每个字/词提供 **时长(Duration)、声学边界(Acoustic Boundary)、能量(Energy)、音高(Pitch)和音调(Tone)** 五维核心属性。WordVoice-5A 致力于打破 LLM-TTS 的"黑盒"特性,推动细粒度语音生成与声学建模研究。
|
| 23 |
|
| 24 |
---
|
| 25 |
|
|
|
|
| 51 |
|
| 52 |
- **5-Dimensional Word-Level Annotations / 五维字级标注**
|
| 53 |
Each character/word is annotated with **Duration, Boundary, Energy, Pitch, and Tone**.
|
| 54 |
+
每个字/词均包含精准的 **时长(Duration)**、**5级声学边界(Acoustic Boundary)**、**能量(Energy)**、**音高(Pitch)** 和 **7类音调(Tone)** 标注。
|
| 55 |
|
| 56 |
- **Massive Bilingual Corpus / 超大规模双语语料**
|
| 57 |
The dataset contains **2,546 hours of Mandarin** and **2,138 hours of English**, making it one of the largest publicly available corpora with comprehensive word-level acoustic annotations.
|