Search for dissertations about: "Automatic Detection and Recognition"

Showing result 1 - 5 of 16 swedish dissertations containing the words Automatic Detection and Recognition.

  2. 1. Perceptually motivated speech recognition and mispronunciation detection

    Author : Christos Koniaris; Olov Engwall; Martin Cooke; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; feature extraction; feature selection; auditory models; MFCCs; speech recognition; distortion measures; perturbation analysis; psychoacoustics; human perception; sensitivity matrix; pronunciation error detection; phoneme; second language; perceptual assessment;

    Abstract : This doctoral thesis is the result of a research effort performed in two fields of speech technology, i.e., speech recognition and mispronunciation detection. Although the two areas are clearly distinguishable, the proposed approaches share a common hypothesis based on psychoacoustic processing of speech signals. READ MORE

  4. 2. Machine-Printed and Handwritten Ethiopic Script Recognition

    Author : Yaregal Assabie; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; HMM; Handwriting Recognition; OCR; Direction Field Tensor; Ethiopic Character Recognition; Amharic Word Recognition; Structure Tensor;

    Abstract : A written language is represented by using machine-printed or handwritten symbols called characters. For automatic recognition of written languages, handwritten script can be captured offline (by a scanner) and online (by electronic digital devices), whereas machine-printed text is captured offline. READ MORE

  5. 3. Object Detection and Recognition in Unstructured Outdoor Environments

    Author : Ahmad Ostovar; Thomas Hellström; Ola Ringdahl; Mårten Björkman; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer vision; Deep Learning; Harvesting Robots; Automatic Detection and Recognition; Computer Science; datalogi;

    Abstract : Computer vision and machine learning based systems are often developed to replace humans in harsh, dangerous, or tedious situations, as well as to reduce the required time to accomplish a task. Another goal is to increase performance by introducing automation to tasks such as inspections in manufacturing applications, sorting timber during harvesting, surveillance, fruit grading, yield prediction, and harvesting operations. READ MORE

  6. 4. Wood fingerprint recognition and detection of thin cracks

    Author : Tobias Pahlberg; Olle Hagman; Matthew Thurley; Michael Felsberg; Luleå tekniska universitet; []
    Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Träteknik; Wood Science and Engineering;

    Abstract : The first part of this thesis deals with recognition of wood fingerprints extracted from timber surfaces. It presents different methods to track sawn wood products through an industrial process using cameras. READ MORE

  7. 5. Mining Speech Sounds : Machine Learning Methods for Automatic Speech Recognition and Analysis

    Author : Giampiero Salvi; Björn Granström; Torbjørn Svendsen; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; speech; machine learning; data mining; signal processing; Computer science; Datavetenskap;

    Abstract : This thesis collects studies on machine learning methods applied to speech technology and speech research problems. The six research papers included in this thesis are organised in three main areas. The first group of studies were carried out within the European project Synface. READ MORE