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Home > All Category Datasets > Speech Recognition Datasets > 103 Hours Dutch Speech Dataset with Entity Annotations

103 Hours Dutch Speech Dataset with Entity Annotations

dutch ner dataset
dutch asr dataset
dutch speech dataset
spoken entity dataset
entity recognition dataset
voice assistant dataset

This Dutch speech dataset covers a wide range of entity types—such as personal names, phone numbers, addresses, alphanumeric sequences, email addresses, product model numbers, product serial numbers, and monetary amounts—authentically reflecting real-life interaction scenarios, and includes corresponding transcriptions and other attribute information. Our dataset was collected from speakers with diverse geographical and background profiles, thereby enhancing the model's performance in real-world, 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, PIPL complied.

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SpecificationsSpecifications
Format
16kHz，16bit，wav，mono channel
Recording environment
quiet indoor environment, normal environment(contains noise that does not affect recognition)
Recording content
Speakers will read and record based on the given texts, with each text containing at least 1 type of specified entity word: person, phone number, address, alphanumeric sequence, Email, product Model, product serial number, and money.
Country
Netherlands(NLD)
Language(Region) Code
nl-NL
Language
Dutch
Accuracy
WAR(Word Accuracy Rate) 98% (Punctuation, tags and non-speech annotations are subjective, thus they are excluded from the accuracy statistics.)
Device
Android phone, iPhone
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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