Portuguese Speech Recognition Dataset
The dataset contains 406 hours of annotated telephone dialogues from 590 native Portuguese speakers, offering detailed audio recordings, transcriptions, and speaker metadata to train speech recognition systems, NLP models, and machine learning applications with diverse Portuguese speech datasets
-
- Hours
- 406
-
- Speakers
- 590
-
- Word Accuracy Rate
- 98%
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
The dataset contains 406 hours of annotated telephone dialogues from 590 native Portuguese speakers, offering detailed audio recordings, transcriptions, and speaker metadata to train speech recognition systems, NLP models, and machine learning applications with diverse Portuguese speech datasets
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Hours
- 406
-
- Speakers
- 590
-
- Word Accuracy Rate
- 98%
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in Portuguese for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | Portugal(PRT) |
| Hours of telephone dialogue | 406 |
| Number of speakers | 590 |
| Labeling | Annotation (text content, speaker's ID, gender, age and other attributes) |
| Gender | Male (46%), Female (54%) |
| Recording device | Android smartphone, iPhone |
Statistics
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Audio Format | Wav |
| Sampling Rate | 16kHz |
| Number of Channels | Mono |
| Bit Depth | 16 bit |
| Recording condition | Low background noise (indoor) |
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