Essays about: "MFCC"
Showing result 1 - 5 of 29 essays containing the word MFCC.
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1. Audio Anomaly Detection in Cars
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : 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. READ MORE
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2. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices
University essay from Lunds universitet/Matematisk statistikAbstract : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. READ MORE
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3. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Today streaming services are the most popular way to consume music, and with this the field of Music Information Retrieval (MIR) has exploded. Tangy market is a music investment platform and they want to use MIR techniques to estimate the value of not yet released songs. READ MORE
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4. Real-time Sound Analysis to Count Opening Cycles of Automatic Doors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Counting opening cycles on an automatic sliding door is of great interest for a company manufacturing doors, such as ASSA Abloy. These metrics could be used for consumer statistics or for door diagnostics. Counting opening cycles is seemingly trivial when there is access to the door’s internal diagnostics or having adequate sensors. READ MORE
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5. Estimating the risk of insurance fraud based on tonal analysis
University essay from Lunds universitet/Matematisk statistikAbstract : 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. READ MORE