Give ears to your projects through Audio DSP and Machine Learning
Solutions
Acoustics
Sound Source Localization
- Beamforming
- 3D Sound Intensity
- Time Difference of Arrival
- Blind Audio Source Seprataion
Acoustic Analysis
- Time and frequency domain
- Speech metrics
- Visualisations
Machine Learning
Sound Classification
- Sound Classification
- Anomaly Detection
- Clustering and PCA
- Linear Regression
- Logistic Regression
Audio DSP
Adaptive Filters
- Noise suppresion
- Wiener filter, LMS
- Spatial selective listening
Audio Augmentation
- Pitch shifting
- Time stretching
References
Filip is young and enthusiastic engineer. He has contributed to a variety of speech processing projects at BabbleLabs. Throughout he has demonstrated keenness to learn, grow and expand his knowledge. Filip continually strives to find ways to improve automation and improve work efficiency. He is well versed in MATLAB programming.
Kamil Wojcicki, PhD
Co-founder and Senior Audio Scientist at BabbleLabs, Inc.
Filip had led the development of signal processing algorithm for squeak and rattle measurement in my company. He did show excellent performance in developing source localisation devices with arrays of microphones. He has excellent understanding in acoustics and signal processing, and he knows how to work it into practical applications. He could perform theoretical research on acoustics as well as he can extend his knowledge in performing practical engineering project.
Youngkey K. Kim, PhD
CEO, Founder, SM Instruments Inc.
Get in touch
filip@audiblebits.com
+420 606703449