German Speech Recognition Dataset
The dataset comprises 431 hours of telephone dialogues in German, collected from 590+ native speakers across various topics and domains
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-
- Hours
- 431
-
- speakers
- 590+
-
- Sentence Accuracy Rate
- 95%
- NLP
- LLM
- Machine learning
- Audio Processing
- ASR
- Voice Recognition
-
- Hours
- 431
-
- speakers
- 590+
-
- Sentence Accuracy Rate
- 95%
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in German for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | Germany (DEU) |
| Hours of telephone dialogue | 431 |
| Number of speakers | 592 |
| Labeling | Annotation (text content, speaker's ID, gender, age and other attributes) |
| Gender | Male (54%), Female (46%) |
| Recording device | Android smartphone, iPhone |
Statistics
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Audio Format | WAV |
| Sampling Rate | 8kHz |
| Number of Channels | Mono |
| Bit Depth | 8 bit |
| Recording condition | Low background noise (indoor) |
Industries
Entertainment Industry:
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Natural Language Processing:
Developing and refining NLP models for applications in chatbots, virtual assistants, and conversational agents.
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Voice Recognition Systems:
Enhancing customer service automation and improving user experience through accurate speech recognition in telephone dialogues.
Education:
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Language Learning Tools:
Providing authentic conversational data to support language acquisition and improve teaching methodologies.
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