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Home > Off-the-shelf Datasets > Speech Recognition Datasets > 206 Hours - English Financial Entities Real-world Casual Conversation and Monologue speech dataset

206 Hours - English Financial Entities Real-world Casual Conversation and Monologue speech dataset

English
Entity
Spontaneous Dialogue
Financial

English Financial Entities Real-world Casual Conversation and Monologue speech dataset, covering various financial professional terminologies, primarily focuses on macroeconomics and microeconomics, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, common entities and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various 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
the United Kingdom(GBR), the United States(USA), etc.
Language(Region) Code
en-GB,en-US, etc.;
Language
English;
Features of annotation
transcription text, timestamp, speaker identification, gender, noise, PII redacted, entities, letter case
Accuracy Rate
Sentence Accuracy Rate (SAR) 95%.
Sample Sample
  • Audio

    So uh the Federal Reserve I don't think is gonna be cutting interest rates anytime soon.

  • Audio

    Bring down inflation to but three percent without actually causing too much damage.

  • Audio

    Good to be here.

  • Audio

    At least they're not gonna do any more damage to the economy so we can take comfort from that.

  • Audio

    Ah well, it depends on how you define damage.

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