Sökning: "Mel-Frequency Cepstral Coefficients"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Mel-Frequency Cepstral Coefficients.

  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. Sound Source Distance Estimation Using Sound Frequency Attenuation

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

    Författare :Frida Johnsson; Gillis Oldfeldt; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Estimating the distance between a sound source and receiver is an important problem. This thesis explores the possibility of estimating distance from a sound source using the attenuations regarding different frequencies over a distance. This method can be useful in cases where currently existing distance approxima- tion methods are not an option. LÄS MER

  4. 3. 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

  5. 4. Speaker Recognition using Biology-Inspired Feature Extraction

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

    Författare :Edvin Andersson; [2021]
    Nyckelord :Artificial Intelligence; AI; Machine Learning; Speaker Recognition; Technology and Engineering;

    Sammanfattning : Distinguishing between people's voices is something the human brain does naturally, using only frequencies picked up by the inner ear. The field of speaker recognition is concerned with making machines do the same thing using digitally sampled speech and data processing. LÄS MER

  7. 5. Classification of Affective Emotion in Musical Themes : How to understand the emotional content of the soundtracks of the movies?

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Paula Diaz Banet; [2021]
    Nyckelord :Music emotion recognition; Deep learning; Feature extraction; VGGish; Mel-frequency Cepstral Coefficients.; Music emotion recognition; Deep learning; Särdragsextraktion; VGGish; Mel-frequency Cepstral Coefficients;

    Sammanfattning : Music is created by composers to arouse different emotions and feelings in the listener, and in the case of soundtracks, to support the storytelling of scenes. The goal of this project is to seek the best method to evaluate the emotional content of soundtracks. LÄS MER