About
ENTEL
Soundy.ai is developed by ENTEL. Established in 1990, ENTEL Engineering Research & Consulting Ltd., based in Budapest, serves as a comprehensive hub for ICT, acoustic design, and product development solutions. Marketed under the Inspired Acoustics (IA) brand, our products are available worldwide and sold in more than a hundred countries. With a robust track record and client base inclusive of key stakeholders in the Hungarian ICT sector, our services span strategy formulation, infrastructure development, engineering services, and expert consultancy. In our architectural acoustics division, we provide specialized engineering services to both international and domestic clients. Our R&D activities and technologies result in new products and solutions attracting clients worldwide.
Technology
Soundy.ai is an AI-assisted collaborative architectural and automotive acoustic design tool with modules for numerical simulation, sound insulation modeling, room acoustics, HVAC noise and vibration isolation.
The technology behind Soundy is multi-fold, supporting the implementation and compliance check using architectural acoustic standards, statistical methods, numerical and finite-element methods as well as advanced machine learning techniques introducing several orders of magnitude of speed increase in calculations.
The use of Soundy's AI-based sound and numerical simulation technology in any space or defense systems intended for harmful or destructive purposes is strictly prohibited.
Publications
Several of the algorithms and methods in Soundy are published. Key publications include:
- B. Bakos, C. Huszty, G. Firtha, F. Izsák, A. Lukács: HERMES: A Physics-informed Hierarchical Mesh Transformer for Real-time Room Eigenfrequency Prediction. Forum Acusticum 2026. (submitted)
- C. Huszty, G. Firtha, F. Izsák: Practical Features and Performance of the Symplectic Time-Domain and Modal FEM Methods of Soundy for Car Interior Acoustic Predictions. Journal of Physics: Conference Series, 3190(1), 012012, 2026.
- B. Bakos, G. Hidy, B. Csanády, C. Huszty, A. Lukács: Estimating Room Acoustic Descriptors from Bag-of-Vectors Representation with Transformers. Engineering Applications of Artificial Intelligence, 145, 110183, 2025.
- C. Huszty, G. Firtha: New Method to Predict Applicability Limits of the Sabine and Eyring Equations Based on a Large Number of Rooms. Forum Acusticum 2023, Proceedings of the 10th Convention of the European Acoustics Association, pp. 4979–4986, 2023.
- G. Firtha, C. Huszty: Measurement Based Absorption Characteristics Estimation of Extended Reactive Surfaces. Forum Acusticum 2023, Proceedings of the 10th Convention of the European Acoustics Association, pp. 4971–4978, 2023.
- C. Huszty, B. Bakos, B. Csanády, G. Hidy, A. Lukács: Prediction of Room Acoustic Parameters in Rectangular Rooms Using Recurrent Neural Networks. INTER-NOISE 2023, Chiba, Japan, pp. 3058–3069. DOI: 10.3397/IN_2023_0444
- G. Firtha, C. Huszty: A 3D Modeling Method of Layered Acoustic Material Structures with Finite Dimensions. INTER-NOISE 2023, Chiba, Japan, pp. 3133–3144. DOI: 10.3397/IN_2023_0452
- C. Huszty, G. Firtha: Prediction of Surface Admittance Impulse Responses from Frequency-Dependent Sound Absorption Coefficients. INTER-NOISE 2023, Chiba, Japan, pp. 6055–6064.
- C. Huszty, F. Izsák: Symplectic Time-Domain Finite Element Method (STD-FEM) for Room Acoustic Modeling. INTER-NOISE 2023, Chiba, Japan, pp. 3089–3099.
- C. Huszty, G. Firtha, F. Izsák: Symplectic Time-Domain Finite Element Method (STD-FEM) Extended with Wave Propagation in Porous Materials for Automotive Interior Acoustic Modeling. Journal of Physics: Conference Series, 2677(1), 012010, 2023.
Funding
The research and development effort of Soundy was co-funded by Entel and grants from the National Research, Development and Innovation Office (NKFIH) and the DIMOP_PLUSZ-1.1.2/A-24 programme.