Sökning: "Voice Validation"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Voice Validation.

  1. 1. CLASSIFYING ANXIETY BASED ON A VOICERECORDING USING LEARNING ALGORITHMS

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Oscar Sherlock; Olle Rönnbäck; [2022]
    Nyckelord :ANN; CNN; Machine learning; Deep learning; ML; DL; Voice recognition; Anxiety;

    Sammanfattning : Anxiety is becoming more and more common, seeking help to evaluate your anxiety canfirst of all take a long time, secondly, many of the tests are self-report assessments that could cause incorrect results. It has been shown there are several voice characteristics that are affected in people with anxiety. LÄS MER

  2. 2. Estimating the risk of insurance fraud based on tonal analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Henrik Steneld; [2022]
    Nyckelord :Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Sammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER

  3. 3. Investigating User Accepted Interaction Concepts for Autonomous Mining Vehicles : A Design Process for Developing and Validating a Human-Machine Interaction Concept based on User Needs

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Johan Rindborg; Johanna Engström; [2021]
    Nyckelord :;

    Sammanfattning : As autonomous vehicles (AVs) are introduced in mining settings, mine workers must adapt to a new type of workflow. This thesis presents how a design process for developing and validating a user accepted Human-Machine Interaction (HMI) concept in an autonomous mining environment can be performed. LÄS MER

  4. 4. DETECTION OF RELAPSING VOCAL CORD CANCER USING SIAMESE NEURAL NETWORKS

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Viktor Stenvall; [2021]
    Nyckelord :Siamese Neural Networks; Vocal cord cancer detection; triplet loss; Mathematics and Statistics;

    Sammanfattning : In this thesis, we investigate the possibility of using Siamese Neural Networks to detect voice changes in the voices of patients su↵ering from a recurrence of their vocal cord cancer. In collaboration with VoiceDiagnostic Sweden AB and physicians at Lunds’s University Hospital, models were trained on audio features in order to learn distance measures between recordings, and segments of recordings. LÄS MER

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

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

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

    Sammanfattning : 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. LÄS MER