Sökning: "speaker recognition"

Visar resultat 1 - 5 av 46 uppsatser innehållade orden speaker recognition.

  1. 1. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Axel Valentin Maza; [2023]
    Nyckelord :Artificial Intelligence; Speaker detection; Speaker recognition; Speaker diarization; Speaker identification; Debate; Politics; Deep Learning; Artificiell intelligens; talardetektion; talarigenkänning; talardiarisering; talaridentifiering; debatt; politik; djupinlärning;

    Sammanfattning : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. LÄS MER

  3. 2. 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

  4. 3. 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

  5. 4. Voice Feature Extraction Using Siamese Neural Networks for Detecting Impersonators

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Marlon Almström; Thi Thu Hòa Trân; [2022]
    Nyckelord :deep learning; voice impersonation; audio feature extraction; siamese neural networks; Mathematics and Statistics;

    Sammanfattning : Voice impersonation is a technique that has often been used by criminals whose goal is to avoid being identified while committing a crime. There are, however, other interesting cases where the police confronts a suspect with an incriminating recording, and the suspect would deny being the true speaker in that recording, and claim that it belonged to an expert impersonator. LÄS MER

  7. 5. Machine learning for identifying how much women and men talk in meetings

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Matilda Wellander; Vera Sintorn; [2022]
    Nyckelord :machine learning; gender equality; voice recognition;

    Sammanfattning : For quite some time, it has been discussed that women are underrepresented in company boards. Furthermore, when they are a member of a board, they tend to have lower positions than men, meaning they have less power. One way to start solving the problem is to have more women in company boards and ensure they too have high positions. LÄS MER