Visual Bank Inc. (Minato-ku, Tokyo; CEO: Saneyuki Nagai) announced the release of the Japanese Two-Speaker Medical Telephone Dialogue Corpus under its AI training data solution, Qlean Dataset, operated through its subsidiary, Amana Images Inc.

This dataset features real-world Japanese telephone dialogues between two speakers in medical settings—such as calls between receptionists and patients, or communications between nurses.
It reproduces natural intonation, pauses, and conversational flow, providing high-quality data for Automatic Speech Recognition (ASR), medical dialogue understanding models, and multimodal generative AI systems including speech-based Large Language Models (LLMs).

Covering various practical situations such as health consultations, symptom checks, and inter-staff communications, it accurately reflects the linguistic features of real clinical interactions.
The dataset is ideal for training and evaluating AI models for medical AI, chatbots, voice logging systems, and educational support AI in realistic environments.

Overview of the

• Speakers: 1 male and 5 female speakers in their 20s–30s (roles include receptionists, nurses, and patients)

• Format: wav

• Duration: Approx. 5 minutes per audio file

• Scenarios:Telephone consultations between patients and medical staff

  　　　　　  Nursing handoff calls discussing patient conditions

• Details: https://qleandataset.visual-bank.co.jp/en/lineup/pn-033

Use Case Examples of the Dataset 

1. Medical AI and Speech Model Development

• Training data for ASR and NLP models: Enables the development of speech recognition and natural language processing systems specialized for medical communication.

• Emotion and stress detection AI: Facilitates emotion classification and stress estimation through prosody and speech tempo analysis.

2. Real-World Evaluation and Optimization

• Robustness evaluation under telecommunication environments (VoIP): Ideal for assessing ASR and response generation models using realistic acoustic conditions.

• Summarization and documentation AI: Supports testing of summarization and structured note-generation systems for medical reporting.

3. Education, Ethics, and Safety Applications

• Training material for communication and patient service AI: Can be used to build educational and feedback-based AI tools for healthcare staff training.

• Research on anonymization and voice conversion AI: Suitable for developing privacy-preserving AI systems handling sensitive medical audio data.

About Qlean Dataset

Qlean Dataset is a commercial-use-ready AI training data solution provided by Amana Images Inc., a subsidiary of Visual Bank Inc.
It supports diverse data types including images, videos, audio, 3D, and text—enabling both research and commercial AI development in a legally safe environment.

Through collaborations with data partners such as Chiba Lotte Marines Co., Ltd. and Toyo Keizai Inc., Qlean Dataset continuously expands its specialized, industry-relevant lineup known as the “AI Data Recipe.”

By reducing the operational burden of data collection and preparation, Qlean Dataset helps build legally compliant and risk-free AI development environments.

▶ Qlean Dataset: https://qleandataset.visual-bank.co.jp/en/
▶ AI Data Recipe: https://qleandataset.visual-bank.co.jp/en/lineup

Key Features of Qlean Dataset

• Full consent obtained from all subjects; compliant with GDPR and CCPA

• Existing datasets deliverable within one business day

• Custom data collection and recording available

▶ Contact: https://qleandataset.visual-bank.co.jp/en/contact

About Visual Bank Inc.

Visual Bank Inc. is a Tokyo-based startup building next-generation data infrastructure to maximize AI development capabilities under the mission, “Unlock the potential of all data.”
The company operates THE PEN, an AI-assisted creative tool for manga artists, and wholly owns Amana Images Inc., which provides the Qlean Dataset service.

CEO: Saneyuki Nagai
Address: C-Cube Minami Aoyama Building 6F, 7-1-7 Minami-Aoyama, Minato-ku, Tokyo 107-0062
Corporate Site: https://visual-bank.co.jp/en/
Amana Images: https://qleandataset.visual-bank.co.jp/en/company-overview