Text-Independent Speaker Verification

16 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Utterance-level Aggregation For Speaker Recognition In The Wild

WeidiXie/VGG-Speaker-Recognition 26 Feb 2019

The objective of this paper is speaker recognition "in the wild"-where utterances may be of variable length and also contain irrelevant signals.

Text-Independent Speaker Verification Using 3D Convolutional Neural Networks

astorfi/3D-convolutional-speaker-recognition 26 May 2017

In our paper, we propose an adaptive feature learning by utilizing the 3D-CNNs for direct speaker model creation in which, for both development and enrollment phases, an identical number of spoken utterances per speaker is fed to the network for representing the speakers' utterances and creation of the speaker model.

RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification

Jungjee/RawNet 17 Apr 2019

In this study, we explore end-to-end deep neural networks that input raw waveforms to improve various aspects: front-end speaker embedding extraction including model architecture, pre-training scheme, additional objective functions, and back-end classification.

Multiobjective Optimization Training of PLDA for Speaker Verification

sanphiee/MOT-sGPLDA-SRE14 25 Aug 2018

Most current state-of-the-art text-independent speaker verification systems take probabilistic linear discriminant analysis (PLDA) as their backend classifiers.

Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms

Jungjee/RawNet 1 Apr 2020

Recent advances in deep learning have facilitated the design of speaker verification systems that directly input raw waveforms.

Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification

shuimove1234/Noise-Invariant-Frame-Selection 3 May 2018

The performance of speaker-related systems usually degrades heavily in practical applications largely due to the presence of background noise.

Deep multi-metric learning for text-independent speaker verification

GreatJiweix/DmmlTiSV 17 Jul 2020

Text-independent speaker verification is an important artificial intelligence problem that has a wide spectrum of applications, such as criminal investigation, payment certification, and interest-based customer services.

Y-Vector: Multiscale Waveform Encoder for Speaker Embedding

gzhu06/Y-vector 24 Oct 2020

State-of-the-art text-independent speaker verification systems typically use cepstral features or filter bank energies as speech features.

Masked Proxy Loss For Text-Independent Speaker Verification

jlian2/Masked-Proxy-Loss-for-Text-Indepedent-Speaker-Verification 9 Nov 2020

We further propose Multinomial Masked Proxy (MMP) loss to leverage the hardness of speaker pairs.

Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning

theolepage/ssl-for-slr 13 Dec 2020

First, we examine a simple contrastive learning approach (SimCLR) with a momentum contrastive (MoCo) learning framework, where the MoCo speaker embedding system utilizes a queue to maintain a large set of negative examples.