en

Please fill in your name

Mobile phone format error

Please enter the telephone

Please enter your company name

Please enter your company email

Please enter the data requirement

Successful submission! Thank you for your support.

Format error, Please fill in again

Confirm

The data requirement cannot be less than 5 words and cannot be pure numbers

m.nexdata.datatang.com

977 Hours Vietnamese Call Center Speech Dataset with Natural Dialogues and Transcripts

vietnamese ASR dataset
vietnamese audio dataset
vietnamese speech dataset
vietnamese speech recognition dataset
call center speech dataset

This dataset contains 977 hours of Vietnamese telephone speech data collected from spontaneous dialogues based on predefined topics. The dataset includes transcription text, timestamps, speaker IDs, gender information, and other metadata. It was collected from more than 1,200 native 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.

Paid Datasets
This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.
SpecificationsSpecifications
Format
8kHz, 8bit, u-law/a-law wav, mono channel;
Recording condition
quiet indoor environment, without echo;
Content category
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;
Speaker
1,234 Vietnam native speakers in total, with 53% male and 47% female;
Features of annotation
transcription text, timestamp, speaker ID and gender;
Recording device
Telephony recording system;
Language
Vietnamese;
Language(Region) Code
vi-VN
Country
Vietnam(VNM)
Application scenarios
speech recognition; voiceprint recognition;
Accuracy rate
Word Accuracy Rate (WAR) 98%.
Sample Sample
  • Audio

    đến ngày sale lớn mười một tháng mười một đấy.

  • Audio

    Cháu ờ đang chờ ngày mai có lương ấy có lương xong rồi mới bắt đầu vào săn được ấy.

  • Audio

    Thì đã chọn được nhiều đồ để cho vào vào giỏ hàng để mà săn sale chưa?

  • Audio

    Lương á cần gì đợi lương trời ơi săn sale lại săn toàn những cái hàng không đồng á lại có khi chẳng cần mất đồng lương nào luôn.

  • Audio

    Ờ Vân ơi, dạo này có

Recommended DatasetsRecommended Dataset
Tell Us Your Special Needs

Current Project Maturity

Early exploration (no concrete specs yet)
Defined goals, need professional guidance
Active development or optimization phase
Data & labeling experts with clear specifications

By submitting, I agree to the Privacy Protection

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.

372acf7c-5483-4536-b14f-81087ecdc551

d23dd60c-39f5-4759-bde2-5010204ecdb7