Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,50 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-nc-nd-4.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-nd-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- automatic-speech-recognition
|
| 5 |
+
language:
|
| 6 |
+
- de
|
| 7 |
+
tags:
|
| 8 |
+
- audio
|
| 9 |
+
- speech
|
| 10 |
+
- speech recognition
|
| 11 |
+
- German
|
| 12 |
+
- machine
|
| 13 |
+
- machine learning
|
| 14 |
+
size_categories:
|
| 15 |
+
- n<1K
|
| 16 |
+
---
|
| 17 |
+
# π§ German Speech Dataset
|
| 18 |
+
|
| 19 |
+
The **German Speech Dataset** is a high-quality **speech audio dataset** designed to provide structured and scalable **audio data** for advanced AI and machine learning systems. It includes **142 hours of audio data** across **768 files**, delivered in **MP3 and WAV formats**, with a total size of **327 MB**. This carefully curated **audio dataset** ensures diverse and representative **voice data**, with **53% male and 47% female speakers**, and a balanced age distribution ranging from **18 to 50+ years**. The **dataset language** is German, making it a reliable **language speech dataset** for building robust voice-enabled applications.
|
| 20 |
+
|
| 21 |
+
---
|
| 22 |
+
|
| 23 |
+
π **Learn more:**
|
| 24 |
+
https://speech-data.ai/datasets/german/
|
| 25 |
+
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
## π Use Cases
|
| 29 |
+
|
| 30 |
+
This **German speech dataset** supports a wide range of AI applications, including **speech recognition**, voice assistant training, and natural language understanding. The structured **speech data** enables efficient acoustic model development, speaker identification, and accent classification. It also supports text-to-speech synthesis and scalable AI training pipelines. As a dependable **speech recognition dataset**, it is suitable for both research and production environments requiring consistent and high-quality **audio data**.
|
| 31 |
+
|
| 32 |
+
---
|
| 33 |
+
|
| 34 |
+
## π Dataset Metadata
|
| 35 |
+
|
| 36 |
+
| Field | Value |
|
| 37 |
+
|------------------|-----------------------------------------------------------------------|
|
| 38 |
+
| π License | CC BY-NC-ND 4.0 |
|
| 39 |
+
| π― Task Categories | Automatic Speech Recognition |
|
| 40 |
+
| π Language | German (de) |
|
| 41 |
+
| π·οΈ Tags | Audio, Speech, Speech Recognition, German, Machine, Machine Learning |
|
| 42 |
+
| π¦ Size Category | n < 1K |
|
| 43 |
+
|
| 44 |
+
---
|
| 45 |
+
|
| 46 |
+
## β Key Value
|
| 47 |
+
|
| 48 |
+
The key value of this **speech dataset** lies in its structured composition, balanced speaker distribution, and production-ready format. It provides high-quality **audio data** that enhances model performance and generalization across real-world scenarios. This **voice dataset** is ideal for developing scalable and accurate voice-driven AI systems.
|
| 49 |
+
|
| 50 |
+
---
|