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1,149 Hours Vietnamese Speech Recognition Dataset for ASR and Conversational AI

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

This dataset contains 1,149 hours of Vietnamese conversational speech collected from spontaneous dialogues based on predefined topics. The dataset includes transcriptions, timestamps, speaker IDs, gender information, and other metadata. It was collected from approximately 1,400 native Vietnamese speakers, covering diverse speaking styles and real-world communication scenarios, 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
16kHz, 16bit, uncompressed wav, mono channel
Recording Environment
quiet indoor environment, without echo
Recording content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed
Speaker
1,408 Vietnamese, with 687 females and 721 males;
Annotation
extract and annotate individual sentences with their start and end timestamps, speaker identification, and spoken text content;
Device
Android mobile phone, iPhone
Country
Vietnam(VNM)
Language
Vietnamese
Language(Region) Code
vi-VN
Accuracy rate
word Accuracy Rate(WAR) 98%
Sample Sample
  • Audio

    dạ vâng đúng rồi ạ tôi là Đức tôi có thể giúp được gì cho chị không ạ

  • Audio

    như vậy những bệnh nào thường gặp ở trẻ em thời điểm này ạ

  • Audio

    thì vào mùa nóng không khí có độ ẩm cao mưa nắng thì thất thường tạo điều kiện thuận lợi

  • Audio

    dạ thưa bác sĩ chăm sóc cho trẻ mùa nắng nóng là vấn đề quan trọng do sức khỏe của trẻ luôn chịu ảnh hưởng lớn từ thời tiết

  • Audio

    thưa chị tôi sẽ giải đáp thắc mắc này cho chị nhé

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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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