Essays about: "Speaker recognition"

Showing result 21 - 25 of 42 essays containing the words Speaker recognition.

1. 21. Compressing Deep Convolutional Neural Networks

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Diego Mancevo del Castillo Ayala; [2017]
   Keywords : machine learning neural networks image recognition;

   Abstract : Deep Convolutional Neural Networks and "deep learning" in general stand at the cutting edge on a range of applications, from image based recognition and classification to natural language processing, speech and speaker recognition and reinforcement learning. Very deep models however are often large, complex and computationally expensive to train and evaluate. READ MORE

3. 22. Machine Learning for Text-Independent Speaker Verification : How to Teach a Machine to RecognizeHuman Voices

   University essay from KTH/Skolan för elektro- och systemteknik (EES)

   Author : Stefano Imoscopi; [2016]
   Keywords : ;

   Abstract : 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. READ MORE

4. 23. Seamless speaker recognition

   University essay from KTH/Radio Systems Laboratory (RS Lab)

   Author : Anargyros Chatzaras; Georgios Savvidis; [2015]
   Keywords : speaker recognition; user authentication; seamless operation; biometrics; standalone; client-server; Android; talarigenkänning; användarautentisering; sömlös drift; biometri; fristående; klient-server; Android;

   Abstract : 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. READ MORE

5. 24. Adding temporal plasticity to a self-organizing incremental neural network using temporal activity diffusion

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Emil Lundberg; [2015]
   Keywords : ANN; artificial neural network; SOINN; SOTPAR; SOTPAR2; prediction; spatio-temporal pattern detection; temporal activity diffusion; pattern recognition; unsupervised learning; vector quantization; ANN; artificiellt neuralt nätverk; artificiella neurala nätverk; SOINN; SOTPAR; SOTPAR2; förutsägelse; spatio-temporal mönsterdetekion; temporal aktivitetsdiffusion; mönsterigenkänning; oövervakad inlärning; vektorkvantisering;

   Abstract : Vector Quantization (VQ) is a classic optimization problem and a simple approach to pattern recognition. Applications include lossy data compression, clustering and speech and speaker recognition. READ MORE

6. 25. Optimizing text-independent speaker recognition using an LSTM neural network

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

   Author : Joel Larsson; [2014]
   Keywords : speaker recognition; speaker identification; text-independent; long short-term memory; lstm; mel frequency cepstral coefficients; mfcc; recurrent neural network; speech processing; spectral analysis; rnnlib; htktoolkit;

   Abstract : In this paper a novel speaker recognition system is introduced. Automated speaker recognition has become increasingly popular to aid in crime investigations and authorization processes with the advances in computer science. Here, a recurrent neural network approach is used to learn to identify ten speakers within a set of 21 audio books. READ MORE