--- title: "Spanish Speech Recognition Dataset" description: "488 hours 600 speakers 98% Word Accuracy Rate" url: "https://unidata.pro/datasets/spanish-speech-recognition-dataset/" date_modified: "2025-12-10T16:47:04+03:00" language: "en-US" --- 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 ## Dataset Structure ### The Numbers Section **Numbered list:** - **Number:** 10+ — **Text:** Hours - **Number:** 20+ — **Text:** Speakers ### Tooltips Section **Tooltip items:** - **Name:** NLP - **Name:** LLM - **Name:** Machine Learning - **Name:** Audio Processing - **Name:** ASR - **Name:** Voice Recognition ### Dataset Information **Table with data:** | 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 | **Media Slider:** - **Video on Slayder:** - **Video on Slayder:** **Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1paFl3jlf5JxaYjvcNkDeJ10MsE6Q2IB-?usp=sharing) ### Technical Specifications **Table with data:** | Characteristic | Data | | --- | --- | | Audio Format | WAV, M4A, MP3 | | Recording condition | Low background noise (indoor) | | Duration | Mean =1 min | **Source and data collection methodology:** Source and collection methodology: Data was collected via crowdsourcing platforms ### Dataset Use Cases - Slider **Industry Cards:** - **Industry:** Call Centers & Customer Support — **Title:** Enhancing Spanish Telephone Dialogue Recognition — **Text:** 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. - **Industry:** AI & Machine Learning Research — **Title:** Training Recognition Models for Spanish Language Processing — **Text:** 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. - **Industry:** Multilingual Applications — **Title:** Supporting Cross-Language Natural Language Processing — **Text:** 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. - **Industry:** Commercial & Industrial Use — **Title:** Deploying Spanish Dialogue Recognition in Real Scenarios — **Text:** 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. ### Fact **FAQs Heading:** FAQs **List of Questions:** - **Question:** What can Spanish Speech Recognition Dataset be used for? — **Answer:** 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. - **Question:** In what format is the dataset provided? — **Answer:** The dataset is available in WAV, M4A, MP3 formats. - **Question:** What types of annotations are provided? — **Answer:** 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. - **Question:** What makes real Spanish telephone dialogues valuable for machine learning? — **Answer:** 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. - **Question:** Can I request a sample of the dataset before purchasing it? — **Answer:** 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. - **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-access model. Free samples are provided for trial and testing, while the full dataset is available exclusively after purchase. - **Question:** Do Unidata datasets comply with GDPR and other data privacy regulations? — **Answer:** 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. - **Question:** How are Unidata datasets stored? — **Answer:** 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. - **Question:** Is the dataset real-world or synthetic? — **Answer:** 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. [Full list of this site's AI-readable pages](https://unidata.pro/llms.txt)