SERENICS — Where Technology Becomes Serenity

INTELLIGENT AUDIO & ACOUSTIC TECHNOLOGIES

AI-Based Machine Listening
& Active Noise Control

Listen. Understand. Control.

We develop intelligent audio and acoustic technologies that listen, understand, and control sound.

Explore our technology

ABOUT SERENICS

Engineering intelligent
acoustic technologies.

SERENICS is a technology-driven company specializing in AI-based machine listening and active noise control.

We focus on acoustic signal processing, AI model development, and real-time noise control technologies for intelligent acoustic applications.

FOUNDER / CEO

Jong-Gyu Kang

Ph.D. in Acoustic Engineering

AI
Acoustic Signal Processing
Active Noise Control
Embedded AI

TECHNOLOGY

Understanding sound.
Controlling noise.

01 /

AI-Based Machine Listening

AI and acoustic signal processing technologies for understanding and classifying meaningful sound events.

  1. Acoustic Signal
  2. Signal Processing
  3. Feature Extraction
  4. AI Model
  5. Sound Understanding

R&D APPLICATION

AI-Based Sleep
Breathing Analysis

Deep-learning based classification of apneic and non-apneic events from sleep audio signals.

Sensitivity
86.3%
Specificity
78.0%
Accuracy
82.0%

Segment-level classification performance evaluated against PSG-derived reference annotations.

Confusion matrix, Reference Class versus Predicted Class: apneic row 17,582 and 2,798; non-apneic row 4,735 and 16,802.
Apneic and non-apneic event classification View figure ↗
02 /

Active Noise Control

Adaptive noise control technology for reducing unwanted low-frequency noise through real-time acoustic signal processing.

  • Adaptive ANC
  • Virtual Microphone Sensing
  • Embedded DSP

EXPERIMENTAL DEMONSTRATION / 01

Road Noise ANC

Audio Demonstration

Listen to continuous ANC ON/OFF.

Open original audio ↗
Road noise recording waveform, spectrogram, and continuous ANC ON/OFF state trace.
Spectrogram / ANC State View figure ↗

EXPERIMENTAL RESULT

Measured overall noise reduction

4.2 dBA
Eight supplied road noise spectra comparing ANC OFF in black and ANC ON in red.
ANC OFF / ON spectrum comparison View figure ↗

EXPERIMENTAL DEMONSTRATION / 02

ANC for Snoring Noise

Audio Demonstration

Listen to continuous ANC ON/OFF.

Open original audio ↗
Snoring noise recording waveform, spectrogram, and continuous ANC ON/OFF state trace.
Spectrogram / ANC State View figure ↗

EXPERIMENTAL RESULT

Measured overall noise reduction

14.5 dBA
Left Ear and Right Ear snoring noise spectra comparing ANC OFF in black and ANC ON in red.
Left Ear / Right Ear spectra View figure ↗

RESEARCH & DEVELOPMENT

Potential Applications

01

AUTOMOTIVE

Road Noise Control
In-Cabin Acoustic Intelligence

02

INDUSTRIAL

Machine Sound Monitoring
Noise Control

03

SLEEP HEALTHCARE

AI-Based Sleep Breathing Analysis
Acoustic Monitoring

04

SMART DEVICES

Embedded Machine Listening
On-device AI

Selected Publications

  1. Jonggyu Kang, Hyounsuk Kim, Jinho Joo, Joongkwan Kim, Dongho Oh. "Active Siren Noise Control in Fire Vehicles" Transactions of the Korean Society of Mechanical Engineers, A 45.11 (2021): 1001-1008.
  2. Jonggyu Kang, Hyounsuk Kim, Jihyun Doe, Chisung Oh, Dongho Oh. "Hardware-In-The-Loop Simulator for Performance Evaluation of Road Noise Active Control System." Transactions of the Korean Society of Automotive Engineers 30.5 (2022): 371-378.

CONTACT

Let’s talk technology.

We welcome inquiries regarding technology collaboration, joint development, and R&D projects.