USA agent to USA Patient medical conversation Speech Dataset in English

USA agent to USA Patient medical conversation Speech Dataset in English

The Health care audio dataset includes call center conversations in General, featuring English speakers from USAwith detailed metadata.

Healthcare
English
  • N/A

    Industry

  • 50 Hours

    Duration

  • 2

    Individuals

Description

About This OTS Dataset

This Off-The-Shelf (OTS) dataset offers a comprehensive collection of audio recordings showcasing conversations between US agents and US patients in English within the medical sector. It is meticulously curated to enhance speech recognition and conversational AI models tailored specifically to the unique dynamics of interactions between US agents and patients in medical contexts.

Metadata Availability: Insights into Participant Details


Each participant is accompanied by detailed metadata including age, gender, country, state, dialect, domain, topic, call type, and outcome. This rich metadata facilitates informed decision-making during model development.

Audio Recording Specifications


Audio Duration: 50 hours
Format Utilized: WAV, ensuring uncompromised audio integrity
Sample Rate Flexibility: Adjustable to meet project demands, ensuring versatility
Bits Per Sample Quality: Maintained at 16-bit for exceptional audio quality and clarity
Diverse Recording Environments: Captured within various real-world settings, providing a comprehensive and authentic portrayal of call center interactions
Standard Recording Equipment: Utilizing standard call center devices for meticulous capture of genuine conversations between US agents and patients, facilitating an accurate reflection of communication dynamics.

These technical specifications ensure compatibility and optimal performance for a wide range of AI development applications within the medical sector.

Insights into Audio Data


The dataset comprises 50 hours of high-quality audio recordings covering a wide array of topics within the medical domain. Created through collaboration with a network of expert native English speakers from the United States, it captures realistic interactions, ensuring a balanced representation of American accents, dialects, and demographics.

License


Exclusively curated by Macgence, this medical conversation audio dataset is available for commercial use, empowering AI developers in the healthcare sector.

Updates and Customization


Consistent updates with fresh audio data captured in varied real-world scenarios guarantee ongoing relevance and precision. We offer customization options such as adjusting sample rates to meet your specific criteria and needs.

Why Macgence Stands Out

 

At Macgence, we're more than just a data provider. We offer tailored solutions to meet your specific needs in AI development. Here's why we believe Macgence is the right partner for you:

Tailored Solutions: Your project is unique, and we understand that. We'll customize everything to align precisely with your objectives.

Versatile Data: Our dataset spans a broad spectrum of applications within the medical sector, encompassing speech recognition, natural language processing, and beyond.

Ongoing Support: We're committed to providing continuous assistance throughout your project lifecycle. Our dataset is regularly refreshed with new recordings, and our team remains readily available to offer guidance and support whenever needed.

Transparent Licensing: Utilize our dataset for commercial purposes with confidence. Our transparent and straightforward licensing terms ensure clarity and peace of mind for your organization.

Comprehensive Assistance: Besides data provisioning, we offer a suite of supplementary services to augment your project. Whether it entails sourcing additional data, conducting meticulous labeling, or tailoring datasets to align with your project specifications, we're equipped to provide comprehensive support.

Choose Macgence for your AI development needs and unlock the full potential of our tailored solutions and expertise.

 Medical Datasets

Medical Datasets

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Conversational AI

 ASR

ASR

 TTS

TTS

 Speech Anaalytics

Speech Anaalytics

 Language Modelling

Language Modelling

Voice Recognition

Voice Recognition

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