Pattern analysis based acoustic signal processing: a survey of the state-of-art
J Chaki - International Journal of Speech Technology, 2021 - Springer
Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
Procedural rhythm game generation in virtual reality
D Perry, T Bivins, B Dehaan, W Li - Proceedings of the 2023 6th …, 2023 - dl.acm.org
Rhythm games and Virtual Reality (VR) often find themselves coming together through the
help of various applications designed with the intent to deliver a unique gameplay …
help of various applications designed with the intent to deliver a unique gameplay …
An open audio processing platform with zync fpga
K Vaca, MM Jefferies, X Yang - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper presents an open audio processing platform on Zync7000 Field-Programmable
Gate Array (FPGA), capable of collecting analog frequency signals through a microphone …
Gate Array (FPGA), capable of collecting analog frequency signals through a microphone …
Diagnosis of Parkinson's Disease Using Convolutional Neural Network-Based Audio Signal Processing on FPGA
H Majidinia, F Khatib… - Circuits, Systems, and …, 2024 - Springer
This study proposes a new method for diagnosing Parkinson's disease using audio signals
and FPGA-based convolutional neural networks. The proposed method involves training a …
and FPGA-based convolutional neural networks. The proposed method involves training a …
Optimization of surface plasmon resonance biosensor for analysis of lipid molecules
Surface Plasmon Resonance (SPR) is an important bio-sensing technique for real-time label-
free detection. However, it is pivotal to optimize various parameters of the sensor …
free detection. However, it is pivotal to optimize various parameters of the sensor …
Unsupervised abnormality detection using heterogenous autonomous system
Due to the rise of autonomous vehicles like drones and cars anomaly detection for better
and robust surveillance becomes prominent for real-time recognition of normal and …
and robust surveillance becomes prominent for real-time recognition of normal and …
Accelerating real-time music beat tracking based on hidden Markov model by using genre information
L Zhou, G Song, Z Wang, M **a - Third International Seminar …, 2023 - spiedigitallibrary.org
The essence of enjoying music is that people can track music beat anytime and be brought
into the scene expressed by music. Music beat tracking is a common task in Music …
into the scene expressed by music. Music beat tracking is a common task in Music …
Modelling Professional Singers: A Bayesian Machine Learning Approach with Enhanced Real-time Pitch Contour Extraction and Onset Processing from an Extended …
B Faghih - 2022 - mural.maynoothuniversity.ie
Singing signals are one of the input data that computer systems need to analyse, and
singing is part of all the cultures in the world. However, although there have been several …
singing is part of all the cultures in the world. However, although there have been several …
Intelligent drummer module based on beat-tracking
JCG Villamil, JPH Mejía, LMC Valbuena - Ingeniería Solidaria, 2021 - revistas.ucc.edu.co
Introduction: This article is the product of the research “Intelligent drummer module based on
beat-tracking”, developed in the Universidad del Quindío in 2020. Problem: Most of the beat …
beat-tracking”, developed in the Universidad del Quindío in 2020. Problem: Most of the beat …
Finding notes within Boomwhackers Recordings
A Özen - 2020 - essay.utwente.nl
This work finds notes within audio recordings of boomwhackers play. The project can find
combinations of up to 4 notes within input signals. This is done by comparing the input …
combinations of up to 4 notes within input signals. This is done by comparing the input …