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Abstract Light Wave

SENSE

Project organized by the National University of Science and Technology Politehnica Bucharest in partnership with the State University of Moldova.

Sensory Engagement Network for Shared Experiences

What is SENSE

SENSE is a research project focused on developing a technology capable of translating music and speech into real-time multisensory feedback.
 

Using advanced AI modules (source separation, speech recognition, and feature extraction), the platform will enable both hearing and hearing-impaired individuals to perceive sound through other senses.
 

The project is built on the scientific collaboration between the National University of Science and Technology Politehnica of Romania and the State University of Moldova, leveraging their combined expertise in audio processing, optimization, and artificial intelligence.

Abstract Waveform

Project details

Program: Complex Bilateral projects with Republic of Moldova

Domain: Culture, creativity and inclusive society (ASC)

Sub-domain: Inclusive development and reduction of vulnerabilities

Project code: PN-IV-PCB-RO-MD-2024-0392 

Project Title: Sensory Engagement Network for Shared Experiences (SENSE) 

Contract Number: 31PCBROMD ⁄ 2025 

Project Director: Ana Nicolae (Neacșu)

Project team

România – Politehnica Bucharest

A team specialized in audio processing, neural networks, and platform integration.

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Dr. Ana Antonia Nicolae

Project Director

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Vlad Vasilescu

Researcher

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Prof. Dr. Corneliu Burileanu

Scientific Mentor

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Dr. Bogdan Moroșanu

Researcher

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Marian Negru

Researcher

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Teodora Moroșanu

Communication Expert

Republica Moldova – State University of Moldova

Expertise in parallel algorithms, optimization, and HPC.

Elena CalmîÈ™

Researcher

Ghenadie Usic

Researcher

Călin Țurcanu

Researcher

Project stages

The project is carried out over a period of 24 months and includes the following stages.

Architecture Design

November 2025 - April 2026

  • Analysis of the current state of the art

  • Data collection

  • Platform architecture design

Model Training

February 2026 - February 2027

  • Implementation of data pipelines

  • Training AI models

August 2026 - June 2027

  • Module integration

  • Platform prototype

Prototype
Validation

June  2027 - October 2027

  • Testing, validation

  • Result dissemination

  • Final report

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