Essays about: "Automatic Annotation"

Showing result 21 - 25 of 42 essays containing the words Automatic Annotation.

  1. 21. Improving Speech Recognition for Arabic language Using Low Amounts of Labeled Data

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Mohammed Bakheet; [2021]
    Keywords : Arabic Language; Speech Recognition; ASR; Signal Processing; wav2vec; XLSR;

    Abstract : The importance of Automatic Speech Recognition (ASR) Systems, whose job is to generate text from audio, is increasing as the number of applications of these systems is rapidly going up. However, when it comes to training ASR systems, the process is difficult and rather tedious, and that could be attributed to the lack of training data. READ MORE

  3. 22. Detection of physical behavior from thigh worn accelerometer : Validation of a new data processing software that automatically compensates for minor variations in the placement of the accelerometer

    University essay from KTH/Ergonomi

    Author : Christofer Höjvall; [2020]
    Keywords : physical behavior; accelerometer; detection;

    Abstract : Background: The term physical behavior includes sedentary and non-sedentary everyday physical activities. Objective measurement methods are recommended when sedentary behaviors are to be measured. Data from a thigh worn accelerometer can, together with the Acti4 software, be used to distinguish different physical behaviors. READ MORE

  4. 23. Automatic vs. Manual Data Labeling : A System Dynamics Modeling Approach

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Clas Blank; [2020]
    Keywords : System Dynamics; Modeling; Data Annotation; Data Labeling; Cost Comparison; Systemdynamik; Modellering; Dataannotation; Kostnadsjämförelse;

    Abstract : Labeled data, which is a collection of data samples that have been tagged with one or more labels, play an important role many software organizations in today's market. It can help in solving automation problems, training and validating machine learning models, or analysing data. READ MORE

  5. 24. Semantic Segmentation of Iron Pellets as a Cloud Service

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Rosenvall Christopher; [2020]
    Keywords : AWS; Amazon Web Services; Iron Pellets; Iron Ore; Iron Ore Pellets; Cloud; Cloud Service; Semantic Segmentation; Machine Learning; SageMaker; Neural Networks; FCN; PSP; DeepLab;

    Abstract : This master’s thesis evaluates automatic data annotation and machine learning predictions of iron ore pellets using tools provided by Amazon Web Services (AWS) in the cloud. The main tool in focus is Amazon SageMaker which is capable of automatic data annotation as well as building, training and deploying machine learning models quickly. READ MORE

  6. 25. Automatic morphological analysis of L-verbs in Palula

    University essay from Stockholms universitet/Institutionen för lingvistik

    Author : Emma Wallerö; [2020]
    Keywords : Finite-State Transducer; FST; morphology; two-level morphology; machine learning; Sequence to Sequence; RNN; Finite-State Transducer; FST; morfologi; tvånivåmorfologi; maskininlärning; Sequence to Sequence; RNN;

    Abstract : This study is exploring the possibilities of automatic morphological analysis of L-verbs in the Palula language by the help from Finite-state technology and two-level morphology along with supervised machine learning. The type of machine learning used are neural Sequence to Sequence models. READ MORE