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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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Greatest papers with code

Generalized End-to-End Loss for Speaker Verification

28 Oct 2017CorentinJ/Real-Time-Voice-Cloning

In this paper, we propose a new loss function called generalized end-to-end (GE2E) loss, which makes the training of speaker verification models more efficient than our previous tuple-based end-to-end (TE2E) loss function.

DOMAIN ADAPTATION SPEAKER VERIFICATION

3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition

18 Jun 2017astorfi/lip-reading-deeplearning

We propose the use of a coupled 3D Convolutional Neural Network (3D-CNN) architecture that can map both modalities into a representation space to evaluate the correspondence of audio-visual streams using the learned multimodal features.

SPEAKER VERIFICATION SPEECH RECOGNITION

Speaker Recognition from Raw Waveform with SincNet

29 Jul 2018mravanelli/SincNet

Rather than employing standard hand-crafted features, the latter CNNs learn low-level speech representations from waveforms, potentially allowing the network to better capture important narrow-band speaker characteristics such as pitch and formants.

SPEAKER IDENTIFICATION SPEAKER RECOGNITION SPEAKER VERIFICATION

Text-Independent Speaker Verification Using 3D Convolutional Neural Networks

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

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.

TEXT-INDEPENDENT SPEAKER VERIFICATION

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

5 Jun 2020s3prl/s3prl

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

End-to-End Text-Dependent Speaker Verification

27 Sep 2015JanhHyun/Speaker_Verification

In this paper we present a data-driven, integrated approach to speaker verification, which maps a test utterance and a few reference utterances directly to a single score for verification and jointly optimizes the system's components using the same evaluation protocol and metric as at test time.

TEXT-DEPENDENT SPEAKER VERIFICATION

Contrastive Predictive Coding Based Feature for Automatic Speaker Verification

1 Apr 2019jefflai108/Contrastive-Predictive-Coding-PyTorch

This thesis describes our ongoing work on Contrastive Predictive Coding (CPC) features for speaker verification.

REPRESENTATION LEARNING SPEAKER VERIFICATION