Research System

Innovation-Driven · Exploring Acoustic-Brain Technology

Interdisciplinary, Multi-Level, Cutting-Edge
•We have established an interdisciplinary, multi-level, and frontier research system focused on core areas such as voice marker analysis, brain neural modeling, and audio interventions. This forms a full-chain innovation model spanning fundamental research → algorithm modeling → end-user applications → industrial transformation.
•Our research team brings together experts in neuroscience, artificial intelligence, psychology, acoustic engineering, and bioinformatics. Leveraging a proprietary large-scale voiceprint database, high-performance algorithm platform, and specialized data collection systems, we continuously advance voice marker standardization, neural model construction, and feedback-based intervention technologies.
Innovative Research System and Full-Chain R&D Model
•We maintain close collaborations with top domestic universities, research institutes, and medical institutions, conducting multiple research projects, including newborn voiceprint collection, adolescent neural health assessment, and adult emotional interventions. The resulting scientific findings have been widely applied across education, healthcare, insurance, and corporate services, advancing mental health management toward precise neural regulation.
•We believe that the warmth of science comes from understanding individuals, and the power of technology lies in healing the mind. Our research goes beyond discovery—it aims to shape the future.
Research Collaboration and Industry Applications
AI Algorithm R&D Center, an Acoustic Data Collection Laboratory, and a Psychological Modeling Laboratory
JingBell is also exploring further research collaborations with international institutes.
Research Team

Led by top experts, translating scientific findings into applications, forming a cross-disciplinary national research team.

  • Secondary School Study: Investigating the relationship between acoustic vibration exposure and academic performance (44 students over 1 semester).
  • Beijing School – Reading Practice: Student Qu conducted a year-long reading experiment.
  • Beijing School – Reading and Positive Psychology: 56 participants over 42 days.
Case Studies

Multiple experiments demonstrate the effectiveness of vibration frequency technology in enhancing learning efficiency

The Rise of the Digital Neuro-Medicine Platform
Our ultimate vision

is to build a comprehensive “Digital Neuro-Therapy Platform via Sound Pathways.”

What we are creating is

not merely an emotional intervention tool, but a national-level digital medical ecosystem.

Our ultimate vision
Our ultimate vision is well-constructed "Digital Neurotherapy Platform for Sound Pathway"
we are created for
we are created for Not just an emotional intervention tool but a national digital medicine ecosystem