Text-independent speaker identification based on selection of the most similar feature vectors
M Soleymanpour, H Marvi - International Journal of Speech Technology, 2017 - Springer
The speaker recognition has been one of the interesting issues in signal and speech
processing over the last few decades. Feature selection is one of the main parts of speaker …
processing over the last few decades. Feature selection is one of the main parts of speaker …
Mel frequency cepstral coefficients (MFCC) based speaker identification in noisy environment using wiener filter
PM Chauhan, NP Desai - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
Speech processing is now an emerging technology of signal processing. Some research
areas of speech processing are recognition of speech, speaker identification (SI), speech …
areas of speech processing are recognition of speech, speaker identification (SI), speech …
[PDF][PDF] Cloud computing challenges with emphasis on Amazon EC2 and windows azure
Cloud Computing has received much attention by the IT-Business world. As compared to the
common computing platforms, cloud computing is more flexible in supporting real-time …
common computing platforms, cloud computing is more flexible in supporting real-time …
[PDF][PDF] Performance comparison of 2-D DCT on full/block spectrogram and 1-D DCT on row mean of spectrogram for speaker identification
The goal of this paper is to present a very simple approach to text dependent speaker
identification using a combination of spectrograms and well known Discrete Cosine …
identification using a combination of spectrograms and well known Discrete Cosine …
Closed set and open set Speaker Identification using amplitude distribution of different Transforms
HB Kekre, V Kulkarni - 2013 International Conference on …, 2013 - ieeexplore.ieee.org
In this paper, closed set and open set Speaker Identification has been performed on two
different databases. Feature extraction for the Identification has been done by using the …
different databases. Feature extraction for the Identification has been done by using the …
[PDF][PDF] Performance comparison of speaker identification using dct, walsh, haar on full and row mean of spectrogram
This paper aims to provide different approaches to text dependent speaker identification
using various transformation techniques such as DCT, Walsh and Haar transform along with …
using various transformation techniques such as DCT, Walsh and Haar transform along with …
[PDF][PDF] Speaker identification using 2-D DCT, Walsh and Haar on full and block spectrogram
This paper aims to provide different approaches to text dependent speaker identification
using DCT, Walsh and Haar transform along with use of spectrograms. Spectrograms …
using DCT, Walsh and Haar transform along with use of spectrograms. Spectrograms …
[PDF][PDF] NMVSA greedy solution for vertex cover problem
Complete optimization problem. The importance of MVC in theory and practical comes from
the wide range of its applications. This paper describes a polynomial time greedy algorithm …
the wide range of its applications. This paper describes a polynomial time greedy algorithm …
[DOC][DOC] Speaker Recognition Using Deep Neural Networks with Combine Feature Extraction Techniques
KA Salman, K Shaker, JJ Stephan - 2019 - researchgate.net
Automatic Speaker Recognition (ASR) refers to the technique of distinguishing or
corroborative the identity of an individual depend on the human voice. Deep Neural …
corroborative the identity of an individual depend on the human voice. Deep Neural …