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 321–330 of 435 papers

TitleStatusHype
以三元組損失微調時延神經網路語者嵌入函數之語者辨識系統(Time Delay Neural Network-based Speaker Embedding Function Fine-tuned with Triplet Loss for Distance-based Speaker Recognition)—0
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networksCode0
Embeddings for DNN speaker adaptive training—0
Improving Noise Robustness In Speaker Identification Using A Two-Stage Attention Model—0
Probing the Information Encoded in X-vectors—0
Personal VAD: Speaker-Conditioned Voice Activity DetectionCode0
A Study on Angular Based Embedding Learning for Text-independent Speaker Verification—0
Triplet Based Embedding Distance and Similarity Learning for Text-independent Speaker Verification—0
A Deep Neural Network for Short-Segment Speaker Recognition—0
Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors—0
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Benchmark Results

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