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1218 Hours Vietnamese Speech Dataset with Natural Conversations and Speaker Metadata
vietnamese speech dataset
vietnamese audio dataset
vietnamese conversational dataset
vietnamese ASR dataset
vietnamese speech recognition dataset
This dataset contains 1,218 hours of Vietnamese speech data collected from real-world communication scenarios, including social media content, conversations, live recordings, and other general domains. The dataset captures natural speaking patterns and diverse speech styles. Each sample includes transcription text, speaker ID, gender information, and other metadata. Collected from a diverse range of Vietnamese speakers, 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.
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
Specifications
Format
16kHz, 16 bit, wav, mono channel
Content category
including interview, self-meida,variety show, etc.
Recording environment
Low background noise
Country
Vietnam(VNM)
Language(Region) Code
vi-VN
Language
Vietnamese
Features of annotation
Transcription text, timestamp, speaker ID, gender
Accuracy
Word Accuracy Rate (WAR) 98%
Sample
Audio
xin mời quý vị và các bạn cùng theo dõi cuộc trò chuyện về một chủ đề mà Thảo Vân nghĩ rằng, ờ, luôn luôn mới
Audio
Như ngày hôm nay, chúng tôi muốn mời quý vị, ờ không chỉ là chị em phụ nữ mà cả các anh, hãy cùng lắng nghe, cùng theo dõi với chúng tôi
Audio
luôn luôn không bao giờ cũ, mặc dù nó là một chủ đề chúng ta vẫn nói nhiều lần, đó là chủ đề làm đẹp.
Audio
Thưa quý vị, trong câu chuyện à đêm muộn ngày hôm nay
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.