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

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Showing 1–10 of 435 papers

TitleStatusHype
An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS—0
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments—0
CoLMbo: Speaker Language Model for Descriptive ProfilingCode0
Learning Speaker-Invariant Visual Features for Lipreading—0
Rhythm Features for Speaker Identification—0
Synthetic Speech Source Tracing using Metric Learning—0
Investigating the Reasonable Effectiveness of Speaker Pre-Trained Models and their Synergistic Power for SingMOS Prediction—0
LASPA: Language Agnostic Speaker Disentanglement with Prefix-Tuned Cross-Attention—0
Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations—0
Pretraining Multi-Speaker Identification for Neural Speaker Diarization—0
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Benchmark Results

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