SOTAVerified

Text-Independent Speaker Verification

Papers

Showing 5170 of 70 papers

TitleStatusHype
Multi-Task Learning with High-Order Statistics for X-vector based Text-Independent Speaker Verification0
Deep Neural Network Embeddings with Gating Mechanisms for Text-Independent Speaker Verification0
Utterance-level Aggregation For Speaker Recognition In The WildCode1
Attentive Statistics Pooling for Deep Speaker Embedding0
Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification0
Adapting End-to-End Neural Speaker Verification to New Languages and Recording Conditions with Adversarial Training0
Short utterance compensation in speaker verification via cosine-based teacher-student learning of speaker embeddings0
Variational Autoencoders with implicit priors for short-duration text-independent speaker verification0
Generative x-vectors for text-independent speaker verification0
Multiobjective Optimization Training of PLDA for Speaker VerificationCode0
Prosodic-Enhanced Siamese Convolutional Neural Networks for Cross-Device Text-Independent Speaker Verification0
Text-Independent Speaker Verification Based on Deep Neural Networks and Segmental Dynamic Time Warping0
Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker VerificationCode0
Text-Independent Speaker Verification Using Long Short-Term Memory Networks0
I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification0
Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification0
Text-Independent Speaker Verification Using 3D Convolutional Neural NetworksCode0
Deep Speaker Feature Learning for Text-independent Speaker Verification0
Deep Speaker Vectors for Semi Text-independent Speaker Verification0
結合I-Vector 及深層神經網路之語者驗證系統 (Text-independent Speaker Verification using a Hybrid I-Vector/DNN Approach) [In Chinese]0
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.