#Japan #Tokyo #AI Learning #Qlean Dataset #Visual Bank

Introduction

Visual Bank Inc., based in Minato-ku, Tokyo, has recently announced the launch of the Japanese Medical Dialogue Audio Corpus Dataset. This dataset, part of the Qlean Dataset, aims to enhance artificial intelligence (AI) learning, particularly in the medical field.

Details of the Dataset

The Japanese Medical Dialogue Audio Corpus captures real-life phone conversations between medical personnel such as receptionists and patients, as well as communications among nurses. It includes natural tone and pacing, which makes it a valuable resource for training and validating models in Automatic Speech Recognition (ASR), medical dialogue understanding, and even generative AI applications involving voice input.

The dataset encompasses various scenarios, including health consultations and inter-staff communications, effectively reflecting the natural language characteristics used in medical settings.

Attributes of the Dataset

• - Target Group: Individuals aged 20 to 30, comprising 1 male and 5 females (receptionists, nurses, patients)
• - Data Format: WAV
• - Recording Duration: Approximately 5 minutes per audio clip
• - Contextual Scenarios: Focuses on calls involving patient health inquiries and nurse communications regarding patient conditions

For further specifics, you can visit the Qlean Dataset website.

Use Cases for the Dataset

The Japanese Medical Dialogue Audio Corpus provides a multitude of applications:

1. Development of AI in Healthcare

Utilize this dataset for training NLP and ASR models to enhance the accuracy of medical dialogue understanding AI. The natural dialogue samples serve as a rich training resource for researchers and developers aiming to make breakthroughs in medical AI interactions.

Moreover, it supports the development of emotion recognition and stress detection AI by analyzing variations in speech rate and intonation, providing crucial data for constructing models that classify emotions and estimate stress levels.

2. Real-world Validation and Optimization

The specially curated audio data simulates communication quality in internet-based voice calls (VoIP), facilitating rigorous testing of ASR models and generative AI within realistic environments.

The dataset can also be used in developing AI systems targeting task summarization and automatic record creation, thus providing validation benchmarks for summarization models in healthcare contexts.

3. Education, Ethics, and Safety

This dataset also serves as a vital educational tool—training AI to assess conversational skills in medical training scenarios or providing automatic feedback can streamline education and training for healthcare professionals.

In addition, it is instrumental for research focusing on ethical handling of medical voice data, supporting privacy-preserving AI solutions like anonymization and speaker conversion.

About Qlean Dataset

Qlean Dataset is a pioneering AI data solution intended for commercial use by Amana Images, part of Visual Bank. It offers versatile data types—images, audio, 3D, and text—catering to both research and commercial needs safely and responsibly.

Visual Bank's commitment to reducing the burden of data collection in AI development is evident in its partnerships with industry leaders, continuously expanding its data offerings through initiatives like the AI Data Recipe.

Key Features of Qlean Dataset:

• - Compliance with international regulations such as GDPR and CCPA, ensuring consent from all participants
• - Swift delivery of existing datasets, often within 24 hours
• - Flexibility to create custom data tailored to specific needs

For inquiries, please visit the Qlean Dataset Contact Page.

Conclusion

Visual Bank, led by CEO Masayuki Nagai, strives to pioneer future-oriented data infrastructures. By unlocking the potential of diverse datasets, the company facilitates cutting-edge AI applications. Its commitment to advancing medical AI through initiatives like the Qlean Dataset underscores the necessity of high-quality, ethically sourced data for innovation in healthcare technology.

For more information about Visual Bank, visit here. To learn more about Amana Images, view this link.