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Spanish Speech Recognition Dataset

The dataset contains audio of real-world Spanish telephone dialogues between native 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

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  • Hours
    488
  • Speakers
    600
  • Word Accuracy Rate
    98%
  • NLP
  • LLM
  • Machine Learning
  • Audio Processing
  • ASR
  • Voice Recognition
  • Hours
    488
  • Speakers
    600
  • Word Accuracy Rate
    98%

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 488
Number of speakers 600
Labeling Annotation (text content, speaker's ID, gender, age and other attributes)
Gender Male (49%), Female (51%)
Recording device Telephone
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Statistics

Distribution by gender

Technical
Characteristics

Characteristic Data
Audio Format PCM, a-law/u-law
Sampling Rate 8kHz
Number of Channels Mono
Recording condition Low background noise (indoor)
Source and collection methodology: Data was collected by a partner of Unidata.

Dataset Use Cases

  • Call Centers & Customer Support

    Enhancing Spanish Telephone Dialogue Recognition

    Spanish Speech Recognition Dataset includes real audio recordings from customer interactions, making it ideal for recognition systems in call centers. Since the dataset contains varied accents and speaking styles, it helps companies improve transcription accuracy, automate responses, and deliver better service through reliable automatic speech recognition technology.



  • AI & Machine Learning Research

    Training Recognition Models for Spanish Language Processing

    This Spanish speech dataset serves as annotated training data for machine learning and language models. The dataset consists of high-quality audio files paired with transcriptions from native speakers. Researchers use it to build recognition models that can transcribe speech with higher accuracy across diverse spoken languages.



  • Multilingual Applications

    Supporting Cross-Language Natural Language Processing

    The dataset contributes to multilingual datasets by combining voice data with other languages for global applications. Developers use this essential dataset to enhance natural language understanding, speech technology, and cross-lingual translation systems. Its corpus consists of diverse speakers, ensuring adaptability in multilingual recognition technology projects.



  • Commercial & Industrial Use

    Deploying Spanish Dialogue Recognition in Real Scenarios

    Businesses apply such datasets in commercial use cases such as transcription platforms, smart assistants, and voice-enabled apps. With high-quality audio samples and detailed metadata, this large-scale database supports speech technology solutions, enabling accurate language processing and recognition systems across multiple spoken languages and environments.



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 PCM, a-law, and u-law formats with a sampling rate of 8kHz and mono channels.
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, gender, age, and other attributes. These annotations are essential for building high-accuracy recognition models and language processing systems.
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.
Still have questions about using Unidata datasets? Read our user-guides

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