Speaker recognition based on deep learning: An overview
Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …
learning has dramatically revolutionized speaker recognition. However, there is lack of …
Speaker verification from short utterance perspective: a review
RK Das, SRM Prasanna - IETE Technical Review, 2018 - Taylor & Francis
Speaker recognition has emerged as an important field over the past several decades and
has evolved over time. This work is attempted to investigate speaker verification (SV) …
has evolved over time. This work is attempted to investigate speaker verification (SV) …
DNN based speaker embedding using content information for text-dependent speaker verification
In this paper, we are interested in exploring Deep Neural Network (DNN) based speaker
embedding for Random-digit task using content information. To this end, a technique is …
embedding for Random-digit task using content information. To this end, a technique is …
Stirring the cauldron: redefining computational archival science (CAS) for the Big Data domain
N Payne - 2018 IEEE International Conference on Big Data …, 2018 - ieeexplore.ieee.org
Over the past 10 years, digitization, big data, and technology advancement has had a
significant impact on the work done by computer scientists, information scientists, and …
significant impact on the work done by computer scientists, information scientists, and …
[PDF][PDF] End-to-end Text-dependent Speaker Verification Using Novel Distance Measures.
This paper explores novel ideas in building end-to-end deep neural network (DNN) based
text-dependent speaker verification (SV) system. The baseline approach consists of …
text-dependent speaker verification (SV) system. The baseline approach consists of …
Comparison of multiple features and modeling methods for text-dependent speaker verification
Text-dependent speaker verification is becoming popular in the speaker recognition society.
However, the conventional i-vector framework which has been successful for speaker …
However, the conventional i-vector framework which has been successful for speaker …
[PDF][PDF] Multi-Task Neural Network for Robust Multiple Speaker Embedding Extraction.
This paper introduces a novel approach for extracting speaker embeddings from audio
mixtures of multiple overlapping voices. This approach is based on a multi-task neural …
mixtures of multiple overlapping voices. This approach is based on a multi-task neural …
Towards a breakthrough speaker identification approach for law enforcement agencies: SIIP
K Khelif, Y Mombrun, G Backfried… - 2017 European …, 2017 - ieeexplore.ieee.org
This paper describes SIIP (Speaker Identification Integrated Project) a high performance
innovative and sustainable Speaker Identification (SID) solution, running over large voice …
innovative and sustainable Speaker Identification (SID) solution, running over large voice …
[PDF][PDF] Content normalization for text-dependent speaker verification
Subspace based techniques, such as i-vector and Joint Factor Analysis (JFA) have shown to
provide state-of-the-art performance for fixed phrase based text-dependent speaker …
provide state-of-the-art performance for fixed phrase based text-dependent speaker …
[PDF][PDF] Supervised Domain Adaptation for Text-Independent Speaker Verification Using Limited Data.
To adapt the speaker verification (SV) system to a target domain with limited data, this paper
investigates the transfer learning of the model pre-trained on the source domain data. To …
investigates the transfer learning of the model pre-trained on the source domain data. To …