Sökning: "Pitch detection"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden Pitch detection.
1. Audio Anomaly Detection in Cars
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER
2. Estimating the risk of insurance fraud based on tonal analysis
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER
3. Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Machine learning as a field has expanded in an explosive manner, with more companies interested in using the technology. One of these companies, Spiideo, uses Machine learning to automatically stream and record sports, highlighting key events - all automatically without a cameraman. LÄS MER
4. Pitcher : An automatic guitar tuner
Kandidat-uppsats, KTH/MekatronikSammanfattning : Pitcher is a prototype which makes it easier for inexperienced guitar players to tune their guitars without any prior knowledge required. This thesis will explore how the construction varies between the usage of DC and a stepper motor, how reliable the tuner is and how long it takes to tune the guitar. LÄS MER
5. The visibility of double neutron star binaries to LISA
Kandidat-uppsats, Lunds universitet/Astronomi - Genomgår omorganisationSammanfattning : Double neutron star binaries (DNSBs) in the mHz gravitational wave (GW) regime are an important group of objects which the GW detector LISA will be able to observe. The detection and parametrization of these objects will help develop our current understanding of neutron star formation and evolution. LÄS MER