Essays about: "automatic segmentation"
Showing result 21 - 25 of 159 essays containing the words automatic segmentation.
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21. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. READ MORE
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22. Automatic Podcast Chapter Segmentation : A Framework for Implementing and Evaluating Chapter Boundary Models for Transcribed Audio Documents
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Podcasts are an exponentially growing audio medium where useful and relevant content should be served, which requires new methods of information sorting. This thesis is the first to look into the state-of-art problem of segmenting podcasts into chapters (structurally and topically coherent sections). READ MORE
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23. Automatic Annotation of Speech: Exploring Boundaries within Forced Alignment for Swedish and Norwegian
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In Automatic Speech Recognition, there is an extensive need for time-aligned data. Manual speech segmentation has been shown to be more laborious than manual transcription, especially when dealing with tens of hours of speech. READ MORE
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24. The World in 3D : Geospatial Segmentation and Reconstruction
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. READ MORE
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25. Machine learning framework for maxillofacial preoperative planning
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Artificial intelligence in biomedical image processing is approaching human performance at object localization while saving immense amounts of time for the physicians. These AI algorithms have the potential to automatically segment anatomical structures for preoperative planning. However, there are currently no tools such tools on the market. READ MORE