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Commercial
Portuguese Speech Recognition Dataset
The dataset contains 10+ hours of annotated telephone dialogues from 20+ 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
- 10+
-
- Speakers
- 20+
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
The dataset contains 10+ hours of annotated telephone dialogues from 20+ 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
- 10+
-
- Speakers
- 20+
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 | 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 |
| Recording condition | Low background noise (indoor) |
| Duration | Mean =11 min |
Dataset Use Cases
FAQs
What types of annotations are provided?
The dataset includes fully transcribed dialogues along with metadata annotations for speaker ID, language, formats, minutes. These labels are essential for building speech recognition models with high accuracy.
Is the dataset suitable for commercial use?
Yes, the dataset is licensed for both research and commercial usage. It can be applied in customer service systems, voice recognition software, speech-to-text solutions, and other language processing technologies.
Why is native speaker audio valuable for training machine learning models?
Native speaker recordings provide authentic examples of vocabulary, pronunciation, and speaking styles that improve model understanding of a language. This helps reduce recognition errors and creates more reliable speech technologies for Portuguese-speaking users.
What should I consider before buying this dataset?
When purchasing it, check the audio format, sampling rate, and the number of native Portuguese speakers included. Make sure the annotations and speech samples match your goals for speech recognition, NLP models, or machine learning projects.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets are curated in compliance with GDPR and international privacy laws. The audio recordings were collected only from legally permissible sources to ensure ethical data collection and safe commercial usage.
How long does it take to receive the dataset?
After submitting a request, Unidata will review the details and complete the necessary documentation with you. Once the agreement is signed and payment is received, the dataset will be delivered within 3-10 days.
Is it unique data?
Yes. This dataset consists of telephone speech collected directly from real participants through Unidata’s partner, making it unique and not available in open-source repositories.
Is this a real-world dataset or synthetic data?
This is a real-world dataset. Portuguese Speech Recognition Dataset was collected from native speakers using Android and iPhone devices in natural recording conditions with low background noise.
Still have questions about using Unidata datasets?
Read our user-guides
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