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Visar resultat 1 - 5 av 30 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Audio Anomaly Detection in Cars

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Asma Hussein; [2023-09-11]
    Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Sammanfattning : 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

  3. 2. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Magnusson; Anton Andersson; [2023]
    Nyckelord :Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

    Sammanfattning : 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. LÄS MER

  4. 3. Song Popularity Prediction with Deep Learning : Investigating predictive power of low level audio features

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Gustaf Holst; Jan Niia; [2023]
    Nyckelord :machine learning; deep learning; audio;

    Sammanfattning : 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. LÄS MER

  5. 4. Real-time Sound Analysis to Count Opening Cycles of Automatic Doors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Teodor Renman; Charlie Ringström; [2023]
    Nyckelord :Sound analysis; signal processing; event detection; MFCC; real-time; automatic door; embedded programming; stm32; microcontroller; Technology and Engineering;

    Sammanfattning : 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. LÄS MER

  7. 5. Estimating the risk of insurance fraud based on tonal analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Henrik Steneld; [2022]
    Nyckelord :Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Sammanfattning : 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