SOTAVerified

Speaker Recognition

Speaker Recognition is the process of identifying or confirming the identity of a person given his speech segments.

Source: Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 435 papers

TitleStatusHype
Probing Deep Speaker Embeddings for Speaker-related Tasks—0
Probing the Information Encoded in X-vectors—0
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems—0
Quality Measures for Speaker Verification with Short Utterances—0
Query Expansion System for the VoxCeleb Speaker Recognition Challenge 2020—0
Study on Inter and Intra Speaker Variability in Speaker Recognition—0
A Benchmark for Understanding and Generating Dialogue between Characters in Stories—0
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments—0
A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition—0
A comparative study of several parameterizations for speaker recognition—0
A comparison of linear and non-linear calibrations for speaker recognition—0
A Deep Neural Network for Short-Segment Speaker Recognition—0
Adversarial defense for deep speaker recognition using hybrid adversarial training—0
Adversarial Speaker Verification—0
A Generative Model for Score Normalization in Speaker Recognition—0
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion—0
A Lightweight Speaker Recognition System Using Timbre Properties—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset—0
Analysis of ABC Frontend Audio Systems for the NIST-SRE24—0
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition—0
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation—0
An Effortless Way To Create Large-Scale Datasets For Famous Speakers—0
An Ensemble SVM-based Approach for Voice Activity Detection—0
A new Speech Feature Fusion method with cross gate parallel CNN for Speaker Recognition—0
An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS—0
An improved uncertainty propagation method for robust i-vector based speaker recognition—0
An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents—0
A Novel Speech Feature Fusion Algorithm for Text-Independent Speaker Recognition—0
基於數字文本相關之語者驗證系統的研究與實作 (Study and Implementation on Digit-related Speaker Verification) [In Chinese]—0
Arabic Speech Rhythm Corpus: Read and Spontaneous Speaking Styles—0
A Reinforcement Learning Framework for Online Speaker Diarization—0
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models—0
Artificial Neural Networks to Recognize Speakers Division from Continuous Bengali Speech—0
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems—0
Assurance Monitoring of Learning Enabled Cyber-Physical Systems Using Inductive Conformal Prediction based on Distance Learning—0
A Study on Angular Based Embedding Learning for Text-independent Speaker Verification—0
A Study on Bias and Fairness In Deep Speaker Recognition—0
Asymmetric and trial-dependent modeling: the contribution of LIA to SdSV Challenge Task 2—0
Attacking Speaker Recognition With Deep Generative Models—0
Audio Representation Learning by Distilling Video as Privileged Information—0
Audio-to-Image Encoding for Improved Voice Characteristic Detection Using Deep Convolutional Neural Networks—0
Audio-visual Speaker Recognition with a Cross-modal Discriminative Network—0
Augmentation adversarial training for self-supervised speaker recognition—0
A Unified Deep Neural Network for Speaker and Language Recognition—0
Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel—0
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection—0
Bayesian calibration for forensic evidence reporting—0
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information—0
Blind score normalization method for PLDA based speaker recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1w2v2-aamEER1.88—Unverified
2WavLM+ECAPA-TDNNEER0.39—Unverified