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Home > All Category Datasets > Speech Recognition Datasets > 203 Hours – German Financial Speech Dataset for ASR & NLP (Conversations + Monologues)

203 Hours – German Financial Speech Dataset for ASR & NLP (Conversations + Monologues)

German financial speech dataset
German ASR training data
German conversational speech corpus
financial terminology speech data
German monologue dataset
German speech recognition dataset
German business speech dataset
German economic speech dataset
multilingual ASR dataset

The 203-hour German Financial 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.

Paid Datasets
This is a paid dataset licensed for commercial use. Ready-made datasets are available for immediate integration into AI projects.
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
Germany(DEU)
Language(Region) Code
de-DE
Language
German
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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Dataset FAQs

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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