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Commercial
German Speech Recognition Dataset
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
- 10+
-
- Speakers
- 20+
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
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
- 10+
-
- Speakers
- 20+
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 | 10 |
| Number of speakers | 20 |
| Labeling | Annotation (ID, Language, Format, Minutes) |
| Recording device | Android smartphone, iPhone |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | WAV, M4A, MP3 |
| Duration | Mean =11 min |
| Recording condition | Low background noise (indoor) |
Dataset Use Cases
FAQs
How diverse is German Speech Recognition Dataset?
The dataset includes 20+ speakers, covering a variety of ages and speech patterns. This diversity improves the performance of recognition systems by capturing natural German speech variations.
How can a German speech recognition dataset improve automatic transcription systems?
A German speech recognition dataset provides realistic conversational examples that help models learn how spoken German differs from written text. This improves the ability of transcription systems to process natural conversations and generate more accurate speech-to-text results.
What types of annotations are provided?
This speech recognition dataset includes metadata such as ID, language, format and minutes. These annotations support speech recognition tasks, machine learning training data, and accurate transcriptions.
Is it possible to request a custom dataset?
Yes, Unidata offers custom datasets tailored to your needs. You can request datasets with specific German dialects, different speaker demographics, or specialized recording conditions to train more accurate recognition models.
Can I request a sample of German Speech Recognition Dataset before purchasing or downloading it?
Yes, a sample of the dataset can be provided. This allows you to review audio quality, speech data, and metadata annotations before making a purchase decision.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets are curated in strict compliance with GDPR and other relevant data protection laws. Data is sourced ethically and legally to ensure it can be used safely in speech recognition models and machine learning applications.
How are Unidata datasets stored?
Unidata stores datasets on AWS cloud infrastructure, which guarantees scalability, reliability, and secure access. Storage and management practices comply with ISO 27001 and ISO 27701 standards, ensuring high-level data protection and privacy for sensitive speech data.
Is this a real-world dataset or synthetic data?
This dataset consists of real-world conversational speech recorded in German over telephone calls. The audio captures authentic interactions from native speakers, making it ideal for realistic speech recognition and NLP training.
Still have questions about using Unidata datasets?
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