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Call Center Audio Dataset

Call Center Audio Dataset is a large audio dataset containing 13,000+ hours of real-world customer service calls from global call centers, featuring 90%+ unique speakers and time-stamped transcripts for accurate speech recognition, speaker diarization, and conversational AI model training. The dataset includes high-quality call center data with rich metadata and multilingual conversations, enabling businesses and researchers to analyze customer interactions, perform sentiment analysis, and improve customer support, contact center operations, and AI-driven customer experience solutions.

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  • Hours
    13,000+
  • Unique Speakers
    90%+
customer service dataset
  • Speech Analysis
  • ASR
  • Machine Learning
  • Audio Processing
  • Voice Recognition

Call Center Audio Dataset is a large audio dataset containing 13,000+ hours of real-world customer service calls from global call centers, featuring 90%+ unique speakers and time-stamped transcripts for accurate speech recognition, speaker diarization, and conversational AI model training. The dataset includes high-quality call center data with rich metadata and multilingual conversations, enabling businesses and researchers to analyze customer interactions, perform sentiment analysis, and improve customer support, contact center operations, and AI-driven customer experience solutions.

Get in touch Download sample
  • Speech Analysis
  • ASR
  • Machine Learning
  • Audio Processing
  • Voice Recognition
  • Hours
    13,000+
  • Unique Speakers
    90%+

Dataset Info

Characteristic Data
Description Audio of real customer service calls
Data types Audio
Tasks Speech Recognition, Speaker Diarization
Hours of audio 13,000+
Language English: 96%, Spanish: 2.5%, Hindi: 1%, Other languages: 0.5%
Labeling Metadata (id, company, category, device, OS, city, state, country, duration, wait time, transcription, AI summary)
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Technical
Characteristics

Characteristic Data
Audio Format OGG, FLAC
Duration Mean = ~770 seconds (~13 minutes)
Source and collection methodology: Data was collected by a partner of Unidata.

Dataset Use Cases

  • Customer Support & Contact Centers

    Training Conversational AI for Customer Service

    A large call center dataset with real customer conversations helps train conversational AI used in contact centers. The audio dataset contains phone calls, transcripts, and metadata that reflect real-world call scenarios. Models learn customer intent, agent responses, and dialogue structure, improving automated support tools, response suggestions, and overall customer service efficiency.

  • Speech Technology & AI Research

    Speech Recognition for Real Customer Calls

    Researchers use call center data to train speech recognition systems on natural conversations recorded in real environments. The dataset includes varied accents, interruptions, and background noise common in phone calls. These audio datasets support model training, transcription accuracy testing, speaker diarization, and development of robust speech processing tools.

  • Business Analytics & Customer Insights

    Customer Sentiment and Conversation Analysis

    A call center database containing thousands of real customer conversations enables detailed analysis of customer sentiment and service performance. Analysts apply natural language processing and sentiment analysis tools to transcripts and audio. The data helps identify recurring issues, evaluate agent interactions, and understand patterns affecting customer satisfaction and service outcomes.

  • Retail & E-commerce Platforms

    Improving Customer Support Automation

    Retail companies use customer service datasets to build systems that support automated customer interactions. Real-world call recordings allow models to recognize common product questions, delivery issues, and refund requests. Training on authentic call center data helps conversational systems respond accurately and assists agents with faster issue resolution and customer communication.

FAQs

What is included in Call Center Audio Dataset?
The dataset contains more than 13,000 hours of real customer service call recordings with over 90% unique speakers. The collection includes audio files, time-stamped transcripts, and metadata describing the calls, making it a comprehensive call center database for machine learning applications.
Can I request a sample of the call center dataset before purchasing?
Yes, a sample of the call center dataset can be requested for evaluation purposes. This allows teams to review the structure of the audio files, transcripts, and metadata before integrating the full customer service dataset into their training pipelines.
What types of annotations are provided with the dataset?
Each audio file includes structured metadata such as company category, device, operating system, geographic location, call duration, and wait time. The dataset also contains transcriptions and AI-generated summaries.
How are Unidata datasets licensed?
Unidata datasets follow a dual-licensing model. Free samples are available for testing and validation, while full datasets containing large volumes of audio data are provided through purchase.
Do Unidata datasets comply with GDPR and other privacy regulations?
Yes, all datasets are curated in compliance with GDPR and applicable data protection laws. Data is obtained from legally permissible sources to ensure ethical use in AI research and machine learning development.
How are Unidata datasets stored?
All datasets are stored securely on AWS cloud infrastructure, ensuring reliability and scalability. Storage and management processes follow ISO 27001 and ISO 27701 standards, providing a secure environment for handling large audio datasets and associated metadata.
How long does it take to receive the dataset?
After submitting a request, the Unidata team reviews the requirements and completes the necessary documentation. Once the agreement is signed and payment is processed, the dataset is typically delivered within 3–10 days.
Is this dataset real-world or synthetic?
This dataset consists entirely of real-world customer service call recordings captured during actual interactions between customers and agents. The audio data is fully licensed, non-synthetic, and reflects communication patterns found in modern call centers.
Still have questions about using Unidata datasets? Read our user-guides

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