Sökning: "mfcc"

Visar resultat 11 - 15 av 30 uppsatser innehållade ordet mfcc.

  1. 11. Detection and localization of cough from audio samples for cough-based COVID-19 detection

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

    Författare :Deepa Krishnamurthy; [2021]
    Nyckelord :Cough detection and Localization; Cough based digital biomarkers; COVID- 19; You Only Look Once algorithm; Mel Frequency Cepstral Coefficient based classifier; Hostdetektering och lokalisering; Hostbaserade digitala biomarkörer; COVID- 19; You Only Look Once algoritm; Mel Frequency Cepstral Coefficient baserad klassificerare;

    Sammanfattning : Since February 2020, the world is in a COVID-19 pandemic [1]. Researchers around the globe are pitching in to develop a fast reliable, non-invasive testing methodology to solve this problem and one of the key directions of research is to utilize coughs and their corresponding vocal biomarkers for diagnosis of COVID-19. LÄS MER

  3. 12. Detecting Signal Corruptions in Voice Recordings for Speech Therapy

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

    Författare :Helmer Nylén; [2021]
    Nyckelord :Noise; Classification algorithms; Audio recording; Machine learning; Acoustic signal processing; Störning; Klassificeringsalgoritmer; Ljudinspelning; Maskininlärning; Akustisk signalbehandling;

    Sammanfattning : When recording voice samples from a patient in speech therapy the quality of the recording may be affected by different signal corruptions, for example background noise or clipping. The equipment and expertise required to identify small disturbances are not always present at smaller clinics. LÄS MER

  4. 13. Detection of Deviations in Beehives Based on Sound Analysis and Machine Learning

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Amer Hodzic; Danny Hoang; [2021]
    Nyckelord :unsupervised machine learning; clustering; DBSCAN; honeybees; beehives; sound analysis;

    Sammanfattning : Honeybees are an essential part of our ecosystem as they take care of most of the pollination in the world. They also produce honey, which is the main reason beekeeping was introduced in the first place. LÄS MER

  5. 14. Ljudklassificering med Tensorflow och IOT-enheter : En teknisk studie

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :David Karlsson; [2020]
    Nyckelord :Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.; Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.;

    Sammanfattning : Artificial Inteligens and machine learning has started to get established as reco- gnizable terms to the general masses in their daily lives. Applications such as voice recognicion and image recognicion are used widely in mobile phones and autonomous systems such as self-drivning cars. LÄS MER

  7. 15. Live Commenting of Football Games Using Machine Learning and Natural Language Generation

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marcus Grönvall; [2020]
    Nyckelord :Live; Commenting; Football; Machine Learning; ML; Natural Language Generation; NLG; Convolutional Neural Network; CNN; Data-to-Text Generation; Spectrogram; Mel-Frequency Cepstral Coefficients; MFCC; Hard Negative Mining; Spiideo; Mathematics and Statistics;

    Sammanfattning : In this degree project, automatic live comments of the events in a football game are generated in text format. The events are detected using machine learning, where CNNs are fit using audio recordings and player positions of games. Suitable features are extracted, where several models are fit to detect different types of events. LÄS MER