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RSKNet-MTSP: Effective and portable deep architecture for speaker verification

https://doi.org/10.1016/j.neucom.2022.09.014
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11744085_41openalex-snapshot
Probabilistic Linear Discriminant Analysis
inferredcites →https://doi.org/10.1007/978-3-032-27827-2_35openalex-snapshot
Perceptual Signal Analysis and Eigenvalue-Weighted Metrics for Musical Audio Quality Assessment
inferredcites →https://doi.org/10.1016/j.csl.2019.101027openalex-snapshot
Voxceleb: Large-scale speaker verification in the wild
inferredcites →https://doi.org/10.1016/j.neucom.2019.08.046openalex-snapshot
Self-attention based speaker recognition using Cluster-Range Loss
inferredcites →https://doi.org/10.1016/j.neucom.2020.06.045openalex-snapshot
Deep multi-metric learning for text-independent speaker verification
inferredcites →https://doi.org/10.1016/j.neucom.2020.06.079openalex-snapshot
Dilated residual networks with multi-level attention for speaker verification
inferredcites →https://doi.org/10.1016/j.neunet.2021.03.004openalex-snapshot
Speaker recognition based on deep learning: An overview
inferredcites →https://doi.org/10.1016/j.neunet.2021.03.014openalex-snapshot
D-MONA: A dilated mixed-order non-local attention network for speaker and language recognition
inferredcites →https://doi.org/10.1016/j.specom.2022.03.008openalex-snapshot
Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations
inferredcites →https://doi.org/10.1109/access.2020.3025941openalex-snapshot
A Unified Deep Learning Framework for Short-Duration Speaker Verification in Adverse Environments
inferredcites →https://doi.org/10.1109/apsipaasc47483.2019.9023039openalex-snapshot
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
inferredcites →https://doi.org/10.1109/asru51503.2021.9687877openalex-snapshot
Hybrid Network with Multi-Level Global-Local Statistics Pooling for Robust Text-Independent Speaker Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/cvpr.2019.00060openalex-snapshot
Selective Kernel Networks
inferredcites →https://doi.org/10.1109/icassp.2017.7953152openalex-snapshot
A study on data augmentation of reverberant speech for robust speech recognition
inferredcites →https://doi.org/10.1109/icassp.2018.8461375openalex-snapshot
X-Vectors: Robust DNN Embeddings for Speaker Recognition
inferredcites →https://doi.org/10.1109/icassp.2019.8683120openalex-snapshot
Utterance-level Aggregation for Speaker Recognition in the Wild
inferredcites →https://doi.org/10.1109/icassp.2019.8683443openalex-snapshot
Knowledge Distillation for Small Foot-print Deep Speaker Embedding
inferredcites →https://doi.org/10.1109/icassp33580.2016openalex-snapshot
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icassp34228.2018openalex-snapshot
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icassp39728.2021openalex-snapshot
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icassp39728.2021.9414676openalex-snapshot
ASV-SUBTOOLS: Open Source Toolkit for Automatic Speaker Verification
inferredcites →https://doi.org/10.1109/icassp40776.2020openalex-snapshot
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053153openalex-snapshot
Knowledge Distillation and Random Erasing Data Augmentation for Text-Dependent Speaker Verification
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053217openalex-snapshot
Multi-Resolution Multi-Head Attention in Deep Speaker Embedding
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053767openalex-snapshot
Improving Deep CNN Networks with Long Temporal Context for Text-Independent Speaker Verification
inferredcites →https://doi.org/10.1109/icassp43922.2022openalex-snapshot
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/ijcnn48605.2020openalex-snapshot
2020 International Joint Conference on Neural Networks (IJCNN)
inferredcites →https://doi.org/10.1109/ijcnn48605.2020.9207519openalex-snapshot
AM-MobileNet1D: A Portable Model for Speaker Recognition
inferredcites →https://doi.org/10.1109/lsp.2018.2822810openalex-snapshot
Additive Margin Softmax for Face Verification
inferredcites →https://doi.org/10.1109/tasl.2010.2064307openalex-snapshot
Front-End Factor Analysis for Speaker Verification
inferredcites →https://doi.org/10.1109/taslp.2018.2831456openalex-snapshot
Text-Independent Speaker Verification Based on Triplet Convolutional Neural Network Embeddings
inferredcites →https://doi.org/10.1109/wacv.2018.00163openalex-snapshot
Understanding Convolution for Semantic Segmentation
inferredcites →https://doi.org/10.21437/interspeech.2016-1129openalex-snapshot
The Speakers in the Wild (SITW) Speaker Recognition Database
inferredcites →https://doi.org/10.21437/interspeech.2017-1575openalex-snapshot
Deep Speaker Embeddings for Short-Duration Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2017-458openalex-snapshot
The 2016 NIST Speaker Recognition Evaluation
inferredcites →https://doi.org/10.21437/interspeech.2017-620openalex-snapshot
Deep Neural Network Embeddings for Text-Independent Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2017-950openalex-snapshot
VoxCeleb: A Large-Scale Speaker Identification Dataset
inferredcites →https://doi.org/10.21437/interspeech.2018-1015openalex-snapshot
Learning Discriminative Features for Speaker Identification and Verification
inferredcites →https://doi.org/10.21437/interspeech.2018-1158openalex-snapshot
Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2018-1417openalex-snapshot
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks
inferredcites →https://doi.org/10.21437/interspeech.2018-1515openalex-snapshot
An Improved Deep Embedding Learning Method for Short Duration Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2018-1769openalex-snapshot
Deep Discriminative Embeddings for Duration Robust Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2018-1929openalex-snapshot
VoxCeleb2: Deep Speaker Recognition
inferredcites →https://doi.org/10.21437/interspeech.2018-993openalex-snapshot
Attentive Statistics Pooling for Deep Speaker Embedding
inferredcites →https://doi.org/10.21437/interspeech.2019-1489openalex-snapshot
Improving Aggregation and Loss Function for Better Embedding Learning in End-to-End Speaker Verification System
inferredcites →https://doi.org/10.21437/interspeech.2019-1606openalex-snapshot
An Effective Deep Embedding Learning Architecture for Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2019-2195openalex-snapshot
Shortcut Connections Based Deep Speaker Embeddings for End-to-End Speaker Verification System
inferredcites →https://doi.org/10.21437/interspeech.2019-2205openalex-snapshot
x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition
inferredcites →https://doi.org/10.21437/interspeech.2019-2357openalex-snapshot
Large Margin Softmax Loss for Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2020-1025openalex-snapshot
Improving Multi-Scale Aggregation Using Feature Pyramid Module for Robust Speaker Verification of Variable-Duration Utterances
inferredcites →https://doi.org/10.21437/interspeech.2020-1106openalex-snapshot
Dynamic Margin Softmax Loss for Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2020-1275openalex-snapshot
Densely Connected Time Delay Neural Network for Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2020-1422openalex-snapshot
Vector-Based Attentive Pooling for Text-Independent Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2020-1446openalex-snapshot
Self-Attention Encoding and Pooling for Speaker Recognition
inferredcites →https://doi.org/10.21437/interspeech.2020-2106openalex-snapshot
Compact Speaker Embedding: lrx-Vector
inferredcites →https://doi.org/10.21437/interspeech.2020-2650openalex-snapshot
ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
inferredcites →https://doi.org/10.3390/electronics9101706openalex-snapshot
Self-Attentive Multi-Layer Aggregation with Feature Recalibration and Deep Length Normalization for Text-Independent Speaker Verification System
inferredcites →https://doi.org/10.48550/arxiv.1704.04861openalex-snapshot
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
inferredcites →https://doi.org/10.48550/arxiv.1910.12592openalex-snapshot
BUT System Description to VoxCeleb Speaker Recognition Challenge 2019
inferredcites →https://doi.org/10.48550/arxiv.2011.00200openalex-snapshot
The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020
inferredcites →https://doi.org/10.57702/jb3fvbn9openalex-snapshot
Kaldi Speech Recognition Toolkit

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Integrating Voice Activity Detection to Enhance Robustness of On-Device Speaker Verification
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TMS: Temporal multi-scale in time-delay neural network for speaker verification
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Lightweight speaker verification with integrated VAD and speech enhancement
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Multi-level attention network: Mixed time–frequency channel attention and multi-scale self-attentive standard deviation pooling for speaker recognition
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Low-complexity speaker embedding module with feature segmentation, transformation and reconstruction for few-shot speaker identification
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DRASP: A Dual-Resolution Attentive Statistics Pooling Framework for Automatic MOS Prediction
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Lightweight Voiceprint Recognition with Ghost Convolution and Hierarchical Residual Splitting
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A Fused Speech Enhancement Framework for Robust Speaker Verification
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SRC-TDNN: Split Residual Collaborative Time Delay Neural Network for Short-Speech Speaker Verification
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Frequency and Multi-Scale Selective Kernel Attention for Speaker Verification
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FA-ExU-Net: The Simultaneous Training of an Embedding Extractor and Enhancement Model for a Speaker Verification System Robust to Short Noisy Utterances
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Efficient Lightweight Speaker Verification With Broadcasting CNN-Transformer and Knowledge Distillation Training of Self-Attention Maps
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Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning
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Grid Operation and Inspection Resource Scheduling Based on an Adaptive Genetic Algorithm
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