Sökning: "mfcc"
Visar resultat 11 - 15 av 30 uppsatser innehållade ordet mfcc.
11. Detection and localization of cough from audio samples for cough-based COVID-19 detection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
12. Detecting Signal Corruptions in Voice Recordings for Speech Therapy
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
13. Detection of Deviations in Beehives Based on Sound Analysis and Machine Learning
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)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
14. Ljudklassificering med Tensorflow och IOT-enheter : En teknisk studie
Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : 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
15. Live Commenting of Football Games Using Machine Learning and Natural Language Generation
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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