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Home > All Category Datasets > Speech Recognition Datasets > 217 Hours Spanish Financial Speech Dataset with Financial Entity Annotation

217 Hours Spanish Financial Speech Dataset with Financial Entity Annotation

spanish financial speech dataset
spanish speech dataset
spanish banking dataset
conversational ai dataset
rag dataset for finance

This Spanish financial speech dataset covering a wide range of financial terminologies, with a particular focus on macroeconomics and microeconomics. The dataset reflects authentic real-world interactions and includes high-quality audio recordings, transcriptions, speaker IDs, gender information, financial entity annotations, and other relevant metadata. The data was collected from speakers with diverse geographical and personal backgrounds, helping to enhance model performance in complex, real-world tasks. The dataset has undergone quality validation by multiple AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

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SpecificationsSpecifications
Format
16k Hz, 16 bit, wav, mono channel
Content category
Covering various financial professional terminologies, primarily focuses on macroeconomics(market trends, financial policies, etc.), microeconomics(individual enterprises, stocks, investment portfolios, etc.)
Recording condition
Low background noise
Country
Spain(ESP), Latin countries
Language(Region) Code
es-ES, etc.
Language
Spain
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, PII redacted, entities, letter case
Accuracy
Word Accuracy Rate (WAR) at least 98% (Tags, entities are not included in accuracy statistics due to subjectivity)
Sample Sample
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What languages and scenarios are covered by Nexdata’s speech recognition datasets?

Nexdata offers speech recognition datasets covering a broad range of languages, dialects, and accents, backed by extensive global language resources. Our datasets include diverse speakers, acoustic environments, and real-world speech scenarios, supporting multilingual ASR, voice assistants, conversational AI, speech-to-text, and other speech-enabled applications.

Can Nexdata customize speech recognition datasets for specific languages or requirements?

Yes. If our off-the-shelf datasets do not fully meet your requirements, Nexdata provides flexible custom data collection, transcription, and annotation services. We can customize datasets based on target languages or dialects, speaker profiles, recording environments, speech scenarios, data volume, and annotation specifications to meet specific ASR development needs.

How does Nexdata ensure the quality and scalability of speech recognition datasets?

Nexdata applies multi-stage quality control throughout speech data collection, transcription, annotation, and validation. Combined with our extensive language resources and scalable collection capabilities, we can support both large-scale multilingual projects and specialized datasets for specific languages, dialects, accents, and speech scenarios.

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