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Home > All Category Datasets > Speech Recognition Datasets > 200 Hours Brazilian Portuguese Finance Speech Dataset for AI Training

200 Hours Brazilian Portuguese Finance Speech Dataset for AI Training

financial speech dataset
finance speech dataset
financial asr dataset
banking speech dataset
financial audio dataset
portuguese financial speech dataset

This dataset contains 200 hours of Brazilian Portuguese financial speech data covering professional financial terminology, including macroeconomic and microeconomic topics. The dataset reflects real-world financial discussions and monologues. Each recording includes an accurate transcript, speaker ID, gender information, and other metadata. The dataset was collected from diverse native Brazilian Portuguese speakers across different regions, enhancing model performance in real and complex 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, and PIPL compliant.

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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
Brazil(BRA)
Language(Region) Code
pt-BR
Language
Portuguese
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, PII redacted
Accuracy
Word Accuracy Rate (WAR) at least 98% (Tags, entities are not included in accuracy statistics due to subjectivity)
Sample Sample
  • Audio

    Você vai ter um leilão para térmica.

  • Audio

    Então, é, to- vou te te explicar. Então, tenho marcado o leilão para mil megawatts no norte, mil megawatts no nordeste.

  • Audio

    E a termoelétrica, ela faz um papel de âncora. [N]

  • Audio

    Vai ser- vai ser exclusivamente so- pelo capital privado.

  • Audio

    Você faz um shopping, se foi a loja âncora, você não vializa- não viabiliza as lojas menores.

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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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