Essays about: "Speaker verification"

Showing result 1 - 5 of 11 essays containing the words Speaker verification.

1. 1. How do voiceprints age?

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Maya Konstantinovna Nachesa; [2023]
   Keywords : Voiceprint; Speaker Emotion Recognition; Age; Speaker Verification;

   Abstract : 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. READ MORE

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

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

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

   Abstract : 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. READ MORE

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

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Oscar Johansson; [2022]
   Keywords : ;

   Abstract : 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. READ MORE

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

   University essay from Mälardalens högskola/Akademin för innovation, design och teknik

   Author : Johannes Deivard; [2020]
   Keywords : 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;

   Abstract : 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. READ MORE

6. 5. Speaker Diarization System for Call-center data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yi Li; [2020]
   Keywords : MFCC-vector Speaker Diarization; Speaker Verification; Voice Active Detection; Gaussian Mixture Model; Hierarchy Clustering; MFCC-vektor Högtalardarisering; Högtalarverifiering; Röstaktiv detektering; Gaussisk blandningsmodell; Hierarkikluster;

   Abstract : To answer the question who spoke when, speaker diarization (SD) is a critical step for many speech applications in practice. The task of our project is building a MFCC-vector based speaker diarization system on top of a speaker verification system (SV), which is an existing Call-centers application to check the customer’s identity from a phone call. READ MORE