Essays about: "Speaker recognition"

Showing result 16 - 20 of 42 essays containing the words Speaker recognition.

1. 16. Application of LabVIEW and myRIO to voice controlled home automation

   University essay from Uppsala universitet/Signaler och System

   Author : Tim Lindstål; Daniel Marklund; [2019]
   Keywords : speech recognition; home automation; labview; myrio; amazon alexa; mel frequency cepstral coefficients; dynamic time warping;

   Abstract : The aim of this project is to use NI myRIO and LabVIEW for voice controlled home automation. The NI myRIO is an embedded device which has a Xilinx FPGA and a dual-core ARM Cortex-A9processor as well as analog input/output and digital input/output, and is programmed with theLabVIEW, a graphical programming language. READ MORE

3. 17. Generating Training Data for Keyword Spotting given Few Samples

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

   Author : Pius Friesch; [2019]
   Keywords : ;

   Abstract : Speech recognition systems generally need a large quantity of highly variable voice and recording conditions in order to produce robust results. In the specific case of keyword spotting, where only short commands are recognized instead of large vocabularies, the resource-intensive task of data acquisition has to be repeated for each keyword individually. READ MORE

4. 18. Evaluation of Text-Independent and Closed-Set Speaker Identification Systems

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

   Author : Berk Gedik; [2018]
   Keywords : ;

   Abstract : 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. READ MORE

5. 19. A performance measurement of a Speaker Verification system based on a variance in data collection for Gaussian Mixture Model and Universal Background Model

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Zeid Bekli; William Ouda; [2018]
   Keywords : Speaker recognition; Speaker Verification; Speaker authentication; Speaker classification; Gaussian mixture model; Gaussian Mixture Model-Universal Background Model; Biometric System; Equal Error Rate; False Negative Rate; False Positive Rate; Mel Frequency Cepstrum Coefficients;

   Abstract : Voice recognition has become a more focused and researched field in the last century,and new techniques to identify speech has been introduced. A part of voice recognition isspeaker verification which is divided into Front-end and Back-end. READ MORE

6. 20. Increasing speaker invariance in unsupervised speech learning by partitioning probabilistic models using linear siamese networks

   University essay from KTH/Tal, musik och hörsel, TMH

   Author : Arvid Fahlström Myrman; [2017]
   Keywords : speech recognition; unsupervised speech learning; unsupervised acoustic modelling; siamese networks; linear networks; speech embeddings; dimensionality reduction;

   Abstract : Unsupervised learning of speech is concerned with automatically finding patterns such as words or speech sounds, without supervision in the form of orthographical transcriptions or a priori knowledge of the language. However, a fundamental problem is that unsupervised speech learning methods tend to discover highly speaker-specific and context-dependent representations of speech. READ MORE