Essays about: "Audio Classification"

Showing result 21 - 25 of 58 essays containing the words Audio Classification.

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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Deepa Krishnamurthy; [2021]
   Keywords : 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;

   Abstract : 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. READ MORE

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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Abstract : 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. READ MORE

4. 23. Drone Detection and Classification using Machine Learning and Sensor Fusion

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Fredrik Svanström; [2020]
   Keywords : Drone detection; Machine learning; Sensor fusion;

   Abstract : This thesis explores the process of designing an automatic multisensordrone detection system using machine learning and sensorfusion. Besides the more common video and audio sensors, the systemalso includes a thermal infrared camera. READ MORE

5. 24. Musical Instrument Activity Detection using Self-Supervised Learning and Domain Adaptation

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Carl Nyströmer; [2020]
   Keywords : Audio classification; music information retrieval; musical instrument recognition; musical instrument activity detection; self-supervised learning; domain adaptation; Ljudklassificering; hämtning av musikinformation; musikintrumentsigenkänning; instrumentaktivitetsigenkänning; självövervakad inlärning; domänadaption;

   Abstract : With the ever growing media and music catalogs, tools that search and navigate this data are important. For more complex search queries, meta-data is needed, but to manually label the vast amounts of new content is impossible. READ MORE

6. 25. Transfer learning between domains : Evaluating the usefulness of transfer learning between object classification and audio classification

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Tobias Frenger; Johan Häggmark; [2020]
   Keywords : Convolutional neural networks; Object classification; Audio classification; Transfer learning; Inception-V3; Inception-ResNet-V2; Keras; ImageNet; Mini-Inception; Mini-Inception-ResNet; Mel-spectrogram; CIFAR-10;

   Abstract : Convolutional neural networks have been successfully applied to both object classification and audio classification. The aim of this thesis is to evaluate the degree of how well transfer learning of convolutional neural networks, trained in the object classification domain on large datasets (such as CIFAR-10, and ImageNet), can be applied to the audio classification domain when only a small dataset is available. READ MORE