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Commercial
Spanish Speech Recognition Dataset
This Spanish speech dataset contains audio of real-world telephone dialogues between native Spanish speakers, providing speech data with detailed annotations for speech recognition, language models, and speech technology, ideal for training recognition systems and developing automatic speech and NLP applications in the Spanish language
-
- Hours
- 10+
-
- Speakers
- 20+
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
This Spanish speech dataset contains audio of real-world telephone dialogues between native Spanish speakers, providing speech data with detailed annotations for speech recognition, language models, and speech technology, ideal for training recognition systems and developing automatic speech and NLP applications in the Spanish language
- NLP
- LLM
- Machine Learning
- Audio Processing
- ASR
- Voice Recognition
-
- Hours
- 10+
-
- Speakers
- 20+
Dataset Info
| Characteristic | Data |
| Description | Audio of telephone dialogues in Spanish for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | Spain (ESP) |
| Hours of telephone dialogue | 10 |
| Number of speakers | 20 |
| Labeling | Annotation (ID, Language, Format, Minutes) |
| Recording device | Telephone |
Technical
Characteristics
| Characteristic | Data |
| Audio Format | WAV, M4A, MP3 |
| Recording condition | Low background noise (indoor) |
| Duration | Mean =1 min |
Dataset Use Cases
FAQs
What can Spanish Speech Recognition Dataset be used for?
It can be used for training automatic speech recognition systems, language models, and NLP applications. It supports voice technology, speech-to-text solutions, and machine learning models that require authentic Spanish speech data.
In what format is the dataset provided?
The dataset is available in WAV, M4A, MP3 formats.
What types of annotations are provided?
Unidata Spanish Speech Recognition Dataset includes fully labeled text transcriptions of conversations, along with speaker metadata such as ID, language, format, minutes. These annotations are essential for building high-accuracy recognition models and language processing systems.
What makes real Spanish telephone dialogues valuable for machine learning?
Real telephone dialogues capture natural speech variations, including spontaneous phrasing and conversational flow. This type of data helps AI models become more effective at processing human speech in practical communication scenarios.
Can I request a sample of the dataset before purchasing it?
Yes, you can request a sample of the dataset. The sample allows you to review audio recordings, transcriptions, and speaker metadata so you can confirm the dataset’s quality for your speech recognition or NLP tasks.
How are Unidata datasets licensed?
Unidata datasets follow a dual-access model. Free samples are provided for trial and testing, while the full dataset is available exclusively after purchase.
Do Unidata datasets comply with GDPR and other data privacy regulations?
Yes. All Unidata datasets are curated in compliance with GDPR and applicable international data protection laws. Data is collected only from legally permissible sources to ensure ethical and lawful usage.
How are Unidata datasets stored?
All datasets, including the Spanish Speech Recognition Dataset, are securely stored on AWS cloud infrastructure. Storage and management practices meet ISO 27001 and ISO 27701 standards, providing high availability, scalability, and strong data privacy safeguards.
Is the dataset real-world or synthetic?
This is a real-world dataset. It consists of natural Spanish telephone dialogues recorded with native speakers, ensuring authentic audio samples for speech recognition tasks.
Still have questions about using Unidata datasets?
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