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 126–150 of 435 papers

TitleStatusHype
Estimating Uniqueness of I-Vector Representation of Human Voice—0
A Novel Speech Feature Fusion Algorithm for Text-Independent Speaker Recognition—0
A Lightweight Speaker Recognition System Using Timbre Properties—0
Differences in Speaker Individualising Information between Case Particles and Fillers in Spoken Japanese—0
Detection and Analysis of Content Creator Collaborations in YouTube Videos using Face- and Speaker-Recognition—0
Detecting Agreement in Multi-party Conversational AI—0
Blind score normalization method for PLDA based speaker recognition—0
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Non-ideal Audio Signals—0
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information—0
Deep Speaker Vectors for Semi Text-independent Speaker Verification—0
An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents—0
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion—0
Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances—0
Bayesian calibration for forensic evidence reporting—0
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices—0
An improved uncertainty propagation method for robust i-vector based speaker recognition—0
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends—0
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features—0
Deep neural network based i-vector mapping for speaker verification using short utterances—0
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection—0
An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS—0
A Generative Model for Score Normalization in Speaker Recognition—0
A comparison of linear and non-linear calibrations for speaker recognition—0
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments—0
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection—0
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Benchmark Results

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