Sökning: "Learning MEL"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Learning MEL.

  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. 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

  4. 3. Violin Artist Identification by Analyzing Raga-vistaram Audio

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

    Författare :Nandakishor Ramlal; [2023]
    Nyckelord :Artist identification; Music information retrieval; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Embeddings; log-Melspectrogram; Artistidentifiering; återhämtning av musikinformation; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Inbäddningar; log-Melspektrogram;

    Sammanfattning : With the inception of music streaming and media content delivery platforms, there has been a tremendous increase in the music available on the internet and the metadata associated with it. In this study, we address the problem of violin artist identification, which tries to classify the performing artist based on the learned features. LÄS MER

  5. 4. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Luigi Assom; [2023]
    Nyckelord :animal decision making; unsupervised machine learning; UMAP; autoencoders; classifiers; bioacoustics; combinatory syntax; animal communication;

    Sammanfattning : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. 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