Slovenian Speech Recognition Dataset
Slovenian speech dataset contains over 10 hours of telephone-recorded dialogues from 20+ native speakers, delivered in MP3 and WAV formats with low background noise and minute-long segments. The dataset includes structured annotations (ID, language, format, duration), making it well-suited for Slovenian speech recognition, spoken language processing, and training language models built on high-quality continuous and spontaneous speech data.
-
- Hours
- 10+
-
- Speakers
- 20+
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
Slovenian speech dataset contains over 10 hours of telephone-recorded dialogues from 20+ native speakers, delivered in MP3 and WAV formats with low background noise and minute-long segments. The dataset includes structured annotations (ID, language, format, duration), making it well-suited for Slovenian speech recognition, spoken language processing, and training language models built on high-quality continuous and spontaneous speech data.
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Hours
- 10+
-
- Speakers
- 20+
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in Slovenian for training NLP models in real-world conversational scenarios |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | Slovenia (SVN) |
| Hours of telephone dialogue | 10+ |
| Number of speakers | 20+ |
| Labeling | Annotation (ID, Language, Format, Minutes) |
| Recording device | Telephone |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | MP3, WAV |
| Recording condition | Low background noise |
| Duration | Mean = 1 min |
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