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Home > All Category Datasets > Speech Recognition Datasets > 400 Hours Vietnamese ASR Dataset with Native Speaker Mobile Recordings

400 Hours Vietnamese ASR Dataset with Native Speaker Mobile Recordings

vietnamese speech dataset
vietnamese ASR dataset
vietnamese audio dataset
vietnamese speech recognition dataset

This dataset contains 400 hours of Vietnamese speech recordings collected using mainstream Android and iOS smartphones. A total of 285 native Vietnamese speakers participated in the recording. The dataset includes 167 male speakers and 118 female speakers, covering age groups from 18 to 65 years old. All speech transcripts were manually reviewed and proofread to ensure high accuracy. The dataset is suitable for speech AI applications, including automatic speech recognition (ASR), speech-to-text systems, and voice assistant development. All data collection and processing procedures comply with privacy and data protection standards, including GDPR, CCPA, and PIPL requirements.

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SpecificationsSpecifications
Format
16kHz, 16bit, uncompressed wav, mono channel.
Recording environment
indoor environment
Recording content (read speech)
oral and news content.
Demographics
285 speakers with 167 males and 118 females; 260 speakers of all are in the age group of 18-25, 25 speakers of all are in the age group of 26-65;
Device
Android mobile phone, iPhone.
Language
Vietnamese
Application scenarios
speech recognition; voiceprint recognition.
Sample Sample
  • Audio

    Anh ấy rất tức giận, ngay lập tức ném bó rau xuống đất.

  • Audio

    Tớ cảm thấy mình thật may mắn vì sinh ra bình thường, tuy nhiên ngoài xã hội có những người thiếu may mắn sinh ra đã khuyết tật bẩm sinh vì thế tớ đã lập quỹ từ thiện này.

  • Audio

    Con gấu bông này đã cũ nhưng nó là vật kỷ niệm của anh em để lại, em không thể vứt nó đi.

  • Audio

    Con cái chính là tài sản quý giá nhất của cha mẹ, đừng bao giờ phụ lòng họ.

  • Audio

    Anh ấy muốn sau khi chết, số tài sản còn lại sẽ tặng cho viện cô nhi mà anh ấy đã từng .

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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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