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Home > All Category Datasets > Speech Recognition Datasets > 20 Hours Romanian Conversational Speech Dataset for ASR & Voice AI

20 Hours Romanian Conversational Speech Dataset for ASR & Voice AI

romanian speech dataset
romanian voice dataset
romanian speech corpus
romanian audio dataset
romanian asr dataset

This dataset contains Romanian conversational speech recorded through spontaneous dialogues based on predefined topics using smartphones. It includes transcriptions, timestamps, speaker IDs, gender, and additional metadata. The recordings were collected from speakers across diverse geographic regions and demographic backgrounds, helping improve model performance in real-world conversational speech applications. The dataset has been quality-validated 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
8khz/16k Hz, 16 bit, wav, mono channel
Content category
Spontaneous dialogue
Recording condition
indoor
Recording device
8khz: Telephony; 16khz: Android phone or iPhone;
Country
Romania
Language(Region)
ro-RO
Features of annotation
Transcription text, timestamp, speaker ID, gender, noise
Accuracy Rate
Word Accuracy Rate (WAR) 98%
Language
Romanian
Sample Sample
  • Audio

    Salut Bogdan. Da mă bate gândul să facă o escapadă. Încă nu am decis exact destinația, dar Ma trag câteva locuri.

  • Audio

    Mă gândeam la ceva mai exotic, poate Thailanda sau balli ce părere. Ce părere ai.

  • Audio

    Cred că vreau un mic din toate.[N]

  • Audio

    În special mă atrage cultura locală, mai ales că sunt așa familiarizată cu tradițiile și obiceiurile din Asia de Sud-Est.[N]

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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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