Speaker Verification

169 papers with code • 5 benchmarks • 6 datasets

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

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

Libraries

Use these libraries to find Speaker Verification models and implementations

Latest papers with no code

ECAPA2: A Hybrid Neural Network Architecture and Training Strategy for Robust Speaker Embeddings

no code yet • 16 Jan 2024

In this paper, we present ECAPA2, a novel hybrid neural network architecture and training strategy to produce robust speaker embeddings.

Exploratory Evaluation of Speech Content Masking

no code yet • 8 Jan 2024

Most recent speech privacy efforts have focused on anonymizing acoustic speaker attributes but there has not been as much research into protecting information from speech content.

VOT: Revolutionizing Speaker Verification with Memory and Attention Mechanisms

no code yet • 28 Dec 2023

Speaker verification is to judge the similarity of two unknown voices in an open set, where the ideal speaker embedding should be able to condense discriminant information into a compact utterance-level representation that has small intra-speaker distances and large inter-speaker distances. We propose a novel model named Voice Transformer(VOT) for speaker verification.

Scalable Ensemble-based Detection Method against Adversarial Attacks for speaker verification

no code yet • 14 Dec 2023

Automatic speaker verification (ASV) is highly susceptible to adversarial attacks.

Lightweight Speaker Verification Using Transformation Module with Feature Partition and Fusion

no code yet • 6 Dec 2023

The features that are output from current block of the model are processed according to the steps above before they are fed into the next block of the model.

LC4SV: A Denoising Framework Learning to Compensate for Unseen Speaker Verification Models

no code yet • 28 Nov 2023

The performance of speaker verification (SV) models may drop dramatically in noisy environments.

Phonetic-aware speaker embedding for far-field speaker verification

no code yet • 27 Nov 2023

The intuition is that phonetic information can preserve low-level acoustic dynamics with speaker information and thus partly compensate for the degradation due to noise and reverberation.

GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System

no code yet • 17 Nov 2023

This paper demonstrates that an attacker can extract speaker information by querying speaker-adapted speech recognition (ASR) systems.

Diffusion-Based Adversarial Purification for Speaker Verification

no code yet • 22 Oct 2023

Recently, automatic speaker verification (ASV) based on deep learning is easily contaminated by adversarial attacks, which is a new type of attack that injects imperceptible perturbations to audio signals so as to make ASV produce wrong decisions.

DASA: Difficulty-Aware Semantic Augmentation for Speaker Verification

no code yet • 18 Oct 2023

Existing augmentation methods for speaker verification manipulate the raw signal, which are time-consuming and the augmented samples lack diversity.