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Vietnamese Speech Recognition Dataset

Vietnamese Speech Recognition Dataset features over 10 hours of telephone-quality audio recordings from native Vietnamese speakers, providing a diverse speech corpus for recognition tasks and training data for NLP models. This Vietnamese audio dataset contains real conversational dialogues with detailed annotations, making it well-suited for machine learning, multi-dialect processing, and benchmarking speech-driven AI systems.

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  • Hours
    10+
  • Speakers
    20+
vietnamese speech dataset
  • NLP
  • LLM
  • Machine Learning
  • Audio Processing
  • ASR
  • Voice Recognition

Vietnamese Speech Recognition Dataset features over 10 hours of telephone-quality audio recordings from native Vietnamese speakers, providing a diverse speech corpus for recognition tasks and training data for NLP models. This Vietnamese audio dataset contains real conversational dialogues with detailed annotations, making it well-suited for machine learning, multi-dialect processing, and benchmarking speech-driven AI systems.

Get in touch Download sample
  • NLP
  • LLM
  • Machine Learning
  • Audio Processing
  • ASR
  • Voice Recognition
  • Hours
    10+
  • Speakers
    20+

Dataset Info

Characteristic Data
Description Audio of telephone dialogues in Vietnamese for training NLP models in real-world conversational scenarios
Data types Audio
Tasks Speech recognition, NLP
Country Vietnam (VNM)
Hours of telephone dialogue 10+
Number of speakers 20+
Labeling Annotation (ID, Language, Format, Minutes)
Recording device Telephone
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Technical
Characteristics

Characteristic Data
Audio Format M4A, MP3
Recording condition Low background noise
Duration Mean = 11 min
Source and collection methodology. Data was collected via crowdsourcing platforms.

Dataset Use Cases

  • Speech Technology & NLP

    Building Vietnamese ASR Models

    This Vietnamese speech dataset helps developers build reliable speech recognition tools that understand real conversational patterns. The dataset contains telephone-quality audio recordings from native Vietnamese speakers, giving models exposure to natural phrasing, hesitations, and varied accents. It supports training data needs for recognition tasks, fine-tuned models, and ASR systems targeting low-resource languages.

  • Customer Service Automation

    Improving Call-Center Dialogue Systems

    Vietnamese audio dataset provides real call-style audio recordings that help automate customer support workflows. Because the dataset covers spontaneous dialogue, background cues, and natural speech rhythm, it enables recognition systems to handle real-world scenarios. It is useful for call-routing solutions, intent detection, and machine learning models used in Vietnamese customer service automation.

  • AI Research & Benchmarking

    Evaluating Speech Models for Vietnamese Language Tasks

    Researchers use this dataset as a benchmark for testing pre-trained models and recognition systems. The dataset comprising multi-speaker audio recordings allows fair evaluation of different learning models under consistent conditions. Its variety supports speech corpus research, speech translations, and the development of more resilient AI technology for regional languages.

  • Voice Biometrics & Security

    Training Speaker Recognition Systems

    This Vietnamese language dataset provides clean audio recordings suitable for training and validating speaker recognition tools. With natural conversational segments and multiple native Vietnamese speakers, it supports recognition tasks involving identity verification and enrollment. The dataset capturing authentic voice patterns helps improve biometric accuracy and reduces errors in voice-based security systems.

FAQs

What is included in this dataset?
The dataset contains over 10 hours of telephone dialogues recorded by native Vietnamese speakers. It includes audio files, structured metadata, and annotations that support training data creation for ASR and machine learning systems.
Can I request a sample before purchasing the dataset?
Yes. Unidata provides free samples so you can evaluate the audio data, annotation quality, and relevance to your recognition tasks before completing your purchase. This helps ensure compatibility with your models and training pipelines.
How was the data collected?
The dataset was collected via vetted crowdsourcing platforms, capturing natural telephone conversations from native Vietnamese speakers. Contributors followed standardized scripts and guidelines to preserve clarity and reduce background noise.
How are Unidata datasets licensed?
Unidata follows a dual-licensing model: free samples are available for testing, while full datasets are provided exclusively through paid licensing. This ensures proper usage rights and supports long-term dataset maintenance.
Do Unidata datasets comply with GDPR and privacy regulations?
Yes. All Unidata datasets adhere to GDPR and global data protection standards. Every audio sample is sourced through legally permissible collection methods, protecting participants’ personal rights.
How are Unidata datasets stored?
All datasets are securely stored on AWS cloud infrastructure with compliance to ISO 27001 and ISO 27701. This guarantees safe handling of speech data, maximum availability, and strong privacy controls.
How long does it take to receive the dataset?
After submitting your request, our team will verify details and prepare the required documents. Following payment and agreement, delivery typically occurs within 3–10 days.
Is this real-world data or synthetic data?
This dataset contains real-world audio recordings from native Vietnamese speakers. No synthetic or generated speech is included, making it ideal for training recognition systems designed for authentic human interactions.
Still have questions about using Unidata datasets? Read our user-guides

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