#Japan #Tokyo #Qlean Dataset #Visual Bank #AI Data Recipe

Visual Bank Unveils Qlean Dataset for AI Development

Visual Bank Inc., based in Tokyo, has introduced an innovative resource for artificial intelligence development: the Qlean Dataset. This dataset focuses on Japanese business dialogues featuring pairs of speakers and is designed to support a variety of AI applications, including Automatic Speech Recognition (ASR), conversational understanding, and summarization.

What is the Qlean Dataset?

The Qlean Dataset, accessible through Amana Images, a subsidiary of Visual Bank, comprises hundreds of hours of natural Japanese dialogue recordings. Each dataset includes not only audio files but also meticulously annotated transcriptions, speaker labels, and timestamps. This level of detail supports the enhancement of Japanese speech corpus accuracy, making it an invaluable tool for both research and commercial uses.

The dataset can be leveraged in numerous contexts, including customer experience (CX) analysis, development of conversational Large Language Models (LLMs), and numerous other applications that rely on high-quality spoken data.

Features of the Qlean Dataset

Data Structure

1. Data Types: Audio (wav) and Text (txt)
2. Subjects: Japanese male and female speakers
3. Recording Duration: Hundreds of hours spanning various business contexts
4. Scenes Included: The dataset covers scenarios such as business meetings, SaaS inquiries, and outbound calls, among others.
5. Transcription Accuracy: Every transcript is meticulously structured to include line numbers, start and end times, speaker labels, and utterances, making it optimal for detailed analysis and training purposes.

For those interested in specific aspects of the data, sample details can be found here.

Applications of the Qlean Dataset

The dataset supports various AI-driven applications:

• - High-Precision ASR and Speaker Diarization: Ideal for researchers looking to enhance speech recognition systems with noise resilience and overlapping speech capabilities.
• - Conversation Understanding and Summarization AI: With its precise time-stamped transcripts, the dataset is perfectly suited for developing summarization models for long-form dialogues.
• - CX and Emotional Recognition AI: By capturing nuanced emotional elements, it aids in improving AI systems designed for analyzing customer satisfaction and quality assessment in contact centers.
• - Sales Intelligence Research: The dataset covers practical dialogue interactions, proving useful for sales coaching and performance analysis AI.
• - Automation AI for Contact Centers: The inclusion of real customer support interactions enables the training of FAQ generation systems and voice-based response AI.
• - UX and Conversational AI Design: The dataset provides natural conversation patterns, beneficial in developing AI assistants and smart speaker interfaces.
• - Emotion Change Detection and Experience Quality Assessment: By analyzing pitch and pacing, the dataset can help in developing tools that detect changes in user emotions during conversations.
• - Japanese LLM and Multimodal Generative AI: The combination of audio and text allows for advancing research into multimodal learning and effective dialogue generation.

The Focus on AI Data Solutions

Visual Bank's emphasis on the Qlean Dataset stretches beyond mere distribution; it aims to streamline the AI development process through its distinctive 'AI Data Recipe'. This accessible offering allows for rapid and flexible integration of data based on user requirements for accuracy and delivery timing.

The partnership with organizations like Chiba Lotte Marines and Toyo Keizai extends the dataset's capabilities and reach, continuously enhancing the Qlean Dataset portfolio. As the demand for robust AI solutions grows, Visual Bank invites potential data partners for collaboration in various domains, including voice, image, and video data.

Conclusion

Visual Bank Inc. embodies the spirit of innovation within the data infrastructure landscape, committed to supporting AI development and promoting a secure, collaborative environment for data utilization. Their flagship product, Qlean Dataset, is not just a dataset; it is a stepping stone toward advancing the future of conversational AI and beyond.

For more detailed information on the Qlean Dataset or inquiries about partnership opportunities, visit Qlean Dataset.

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About Visual Bank Inc.
Visual Bank is dedicated to creating next-generation data infrastructure aimed at unlocking the potential of all data forms. It operates innovative tools like 'THE PEN' to support manga artists and leverages its subsidiary, Amana Images, to deliver top-tier AI training datasets. The company is also actively engaged in national research and development programs.

CEO: Saneyuki Nagai
Address: C-Cube Minami Aoyama Bldg. 6F, 7-1-7 Minami Aoyama, Minato-ku, Tokyo 107-0062
Company Website: Visual Bank Inc.
Learn about Amana Images: Amana Images