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Visar resultat 1 - 5 av 6 uppsatser som matchar ovanstående sökkriterier.
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)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
2. Teknik för dokumentering avmöten och konferenser
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Documentation of meetings and conferences is performed at most companies by one or more people sitting at a computer and typing what has been said during the meeting. This may lead to typing mistakes or incorect perception by the person who records. The human factor is quite large. LÄS MER
3. Evaluation of Text-Independent and Closed-Set Speaker Identification Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Speaker recognition is the task of recognizing a speaker of a given speech record and it has wide application areas. In this thesis, various machine learning models such as Gaussian Mixture Model (GMM), k-Nearest Neighbor(k-NN) Model and Support Vector Machines (SVM) and feature extraction methods such as Mel-Frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC) are investigated for the speaker recognition task. LÄS MER
4. Machine Learning for Text-Independent Speaker Verification : How to Teach a Machine to RecognizeHuman Voices
Master-uppsats, KTH/Skolan för elektro- och systemteknik (EES)Sammanfattning : The aim of speaker recognition and veri cation is to identify people's identity from the characteristics of their voices (voice biometrics). Traditionally this technology has been employed mostly for security or authentication purposes, identi cation of employees/customers and criminal investigations. LÄS MER
5. Seamless speaker recognition
Master-uppsats, KTH/Radio Systems Laboratory (RS Lab)Sammanfattning : In a technologically advanced society, the average person manages dozens of accounts for e-mail, social networks, e-banking, and other electronic services. As the number of these accounts increases, the need for automatic user identification becomes more essential. LÄS MER
