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Speaker Verification

31 papers with code · Speech

Speaker verification is the verifying the identity of a person from characteristics of the voice.

( Image credit: Contrastive-Predictive-Coding-PyTorch )

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Latest papers with code

Deep multi-metric learning for text-independent speaker verification

17 Jul 2020GreatJiweix/DmmlTiSV

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.

METRIC LEARNING TEXT-INDEPENDENT SPEAKER VERIFICATION

6
17 Jul 2020

Defense for Black-box Attacks on Anti-spoofing Models by Self-Supervised Learning

5 Jun 2020andi611/Self-Supervised-Speech-Pretraining-and-Representation-Learning

To explore this issue, we proposed to employ Mockingjay, a self-supervised learning based model, to protect anti-spoofing models against adversarial attacks in the black-box scenario.

SELF-SUPERVISED LEARNING SPEAKER VERIFICATION VOICE CONVERSION

147
05 Jun 2020

AutoSpeech: Neural Architecture Search for Speaker Recognition

7 May 2020TAMU-VITA/AutoSpeech

Speaker recognition systems based on Convolutional Neural Networks (CNNs) are often built with off-the-shelf backbones such as VGG-Net or ResNet.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH SPEAKER IDENTIFICATION SPEAKER RECOGNITION SPEAKER VERIFICATION

44
07 May 2020

Segment Aggregation for short utterances speaker verification using raw waveforms

7 May 2020kimho1wq/SegmentAggregation

The proposed method segments an input utterance into several short utterances and then aggregates the segment embeddings extracted from the segmented inputs to compose a speaker embedding.

SPEAKER VERIFICATION

2
07 May 2020

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

1 Apr 2020Jungjee/RawNet

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

TEXT-INDEPENDENT SPEAKER VERIFICATION

79
01 Apr 2020

A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification

31 Mar 2020juanmc2005/SpeakerEmbeddingLossComparison

Despite the growing popularity of metric learning approaches, very little work has attempted to perform a fair comparison of these techniques for speaker verification.

METRIC LEARNING SPEAKER VERIFICATION

27
31 Mar 2020

NPLDA: A Deep Neural PLDA Model for Speaker Verification

10 Feb 2020iiscleap/NeuralPlda

The likelihood ratio score of the generative PLDA model is posed as a discriminative similarity function and the learnable parameters of the score function are optimized using a verification cost.

SPEAKER RECOGNITION SPEAKER VERIFICATION

50
10 Feb 2020

DropClass and DropAdapt: Dropping classes for deep speaker representation learning

2 Feb 2020cvqluu/dropclass_speaker

The first proposed method, DropClass, works via periodically dropping a random subset of classes from the training data and the output layer throughout training, resulting in a feature extractor trained on many different classification tasks.

REPRESENTATION LEARNING SPEAKER VERIFICATION

15
02 Feb 2020

Pairwise Discriminative Neural PLDA for Speaker Verification

20 Jan 2020iiscleap/NeuralPlda

The pre-processing steps of linear discriminant analysis (LDA), unit length normalization and within class covariance normalization are all modeled as layers of a neural model and the speaker verification cost functions can be back-propagated through these layers during training.

SPEAKER VERIFICATION

50
20 Jan 2020

Adversarial Attacks on GMM i-vector based Speaker Verification Systems

8 Nov 2019lixucuhk/adversarial-attack-on-GMM-i-vector-based-speaker-verification-systems

Experiment results show that GMM i-vector systems are seriously vulnerable to adversarial attacks, and the crafted adversarial samples prove to be transferable and pose threats to neuralnetwork speaker embedding based systems (e. g. x-vector systems).

SPEAKER VERIFICATION

12
08 Nov 2019