Sökning: "Speaker Verification"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Speaker Verification.

  1. 1. How do voiceprints age?

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Maya Konstantinovna Nachesa; [2023]
    Nyckelord :Voiceprint; Speaker Emotion Recognition; Age; Speaker Verification;

    Sammanfattning : Voiceprints, like fingerprints, are a biometric. Where fingerprints record a person's unique pattern on their finger, voiceprints record what a person's voice "sounds like", abstracting away from what the person said. They have been used in speaker recognition, including verification and identification. LÄS MER

  3. 2. Andraspråkstalares repertoarväxlingsstrategier : Ett didaktiskt verktyg för analys

    Master-uppsats, Stockholms universitet/Institutionen för ämnesdidaktik

    Författare :Hanna Larsson; [2022]
    Nyckelord :Andraspråksutveckling; identitetsmässig flexibilitet; motivation; multietnisk språkvarietet; självbilder; språklig medvetenhet; repertoarväxling;

    Sammanfattning : In this study, I designed a didactic tool for teachers’ analysis of second language speakers’ repertoire exchange strategies. The purpose of the study was to design, investigate and evaluate a didactic tool to identify second language speakers' motivation for changing repertoire and offer teachers an opportunity for analysis. LÄS MER

  4. 3. Speaker verification: Advantages and limitations of a biologically inspired feature extractor

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Maja Gajic; [2022]
    Nyckelord :Speaker verification; artificial neural network; ANN; feature extractor; Technology and Engineering;

    Sammanfattning : Speaker verification is the process of verifying the identity of a person based on voice. This process usually encompasses the following steps: The speech signal is mapped into features using a feature extractor, these features are then classified using a post processor. LÄS MER

  5. 4. Voice Biometrics Exploring The Boundaries Of Speaker Verification

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Oscar Johansson; [2022]
    Nyckelord :;

    Sammanfattning : Recent advancements in computational power, datasets and models have resulted in significant performanceincreases across various speech and speaker recognition models. This work investigates the capabilities ofusing voice as a biometric tool, namely what is referred to as speaker verification. LÄS MER

  7. 5. How accuracy of estimated glottal flow waveforms affects spoofed speech detection performance

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

    Författare :Johannes Deivard; [2020]
    Nyckelord :computer science; machine learning; automatic speech verification; spoofed speech detection; glottal flow waveform; glottal inverse filtering; artificial neural network; logistic regression; support vector machine; classifiers;

    Sammanfattning : In the domain of automatic speaker verification,  one of the challenges is to keep the malevolent people out of the system.  One way to do this is to create algorithms that are supposed to detect spoofed speech. LÄS MER