German Speech Recognition Dataset
The German speech dataset contains high-quality audio recordings of real-world telephone dialogues between native German speakers, offering speech data with precise annotations for speech recognition, recognition models, and automatic speech technology, providing essential training data for recognition systems, machine learning, and accurate transcriptions in German-language applications
-
- Hours
- 431
-
- Speakers
- 590+
-
- Sentence Accuracy Rate
- 95%

- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
The German speech dataset contains high-quality audio recordings of real-world telephone dialogues between native German speakers, offering speech data with precise annotations for speech recognition, recognition models, and automatic speech technology, providing essential training data for recognition systems, machine learning, and accurate transcriptions in German-language applications
- 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) |
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