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 131–140 of 435 papers

TitleStatusHype
Audio-to-Image Encoding for Improved Voice Characteristic Detection Using Deep Convolutional Neural Networks—0
An Effortless Way To Create Large-Scale Datasets For Famous Speakers—0
A Benchmark for Understanding and Generating Dialogue between Characters in Stories—0
Cosine Scoring with Uncertainty for Neural Speaker Embedding—0
CopyPaste: An Augmentation Method for Speech Emotion Recognition—0
Audio Representation Learning by Distilling Video as Privileged Information—0
Convexity-based Pruning of Speech Representation Models—0
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation—0
Adversarial defense for deep speaker recognition using hybrid adversarial training—0
An Empirical Study on Text-Independent Speaker Verification based on the GE2E Method—0
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Benchmark Results

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