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Home > All Category Datasets > Speech Recognition Datasets > 200 Hours Italian Financial Speech Dataset – Entity-Annotated Conversations for ASR & AI Training

200 Hours Italian Financial Speech Dataset – Entity-Annotated Conversations for ASR & AI Training

italian financial speech dataset
financial speech dataset
italian financial ASR dataset
financial conversation dataset
financial speech recognition dataset
financial entity dataset
banking speech dataset

200 hours of Italian financial speech dataset featuring real-world conversations and monologue recordings enriched with financial entity annotations. The dataset covering various financial professional terminologies, primarily focuses on macroeconomics and microeconomics, mirrors real-world interactions.The data includes transcribed text, speaker ID, gender, generic entities, and other attributes. Our dataset is collected from speakers across a wide geographical area and diverse backgrounds, thus improving the model's performance on real-world, complex tasks. This dataset has passed quality tests 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
Italy(ITA)
Language(Region) Code
it-IT
Language
Italian
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, PII redacted, entities, letter case
Accuracy
Word Accuracy Rate (WAR) at least 98%
Sample Sample
  • Audio

    la piattaforma di crowdfunding, e invece ho detto, aspetta, forse ho sbagliato finestra, ecco.

  • Audio

    che io faccio tanti collegamenti e pensavo, cazzo ma non mi ricordavo di avere un cantante,

  • Audio

    Ma tu sei, no, invece è molto professional, ma sei batterista?

  • Audio

    [OVERLAP/]Fonoassorbenti,[/OVERLAP] sì. [OVERLAP/]Questi servono[/OVERLAP] però soltanto soltanto ad assorbire il riverbero interno,

  • Audio

    E live. Eccolo. Dario, pensavo per un attimo di aver sbagliato collegamento, perché sai

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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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