On the public citation graph

Learning Discriminative Features for Speaker Identification and Verification

0 signed · 60 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4673657openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-981-16-8129-5_10openalex-snapshot
Performance Analysis of Voice Activity Detector in Presence of Non-stationary Noise
inferred← citeshttps://doi.org/10.1007/978-981-96-0125-7_31openalex-snapshot
Integrating Voice Activity Detection to Enhance Robustness of On-Device Speaker Verification
inferred← citeshttps://doi.org/10.1007/s00034-023-02542-9openalex-snapshot
Deep Learning-Based End-to-End Speaker Identification Using Time–Frequency Representation of Speech Signal
inferred← citeshttps://doi.org/10.1007/s11042-023-16507-2openalex-snapshot
An optimized enhanced-multi learner approach towards speaker identification based on single-sound segments
inferred← citeshttps://doi.org/10.1007/s11277-022-10096-3openalex-snapshot
Cross B-HUB Based RNN with Random Aural-Feature Extraction for Enhanced Speaker Extraction and Speaker Recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114591openalex-snapshot
Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.119833openalex-snapshot
End-to-end deep speaker embedding learning using multi-scale attentional fusion and graph neural networks
inferred← citeshttps://doi.org/10.1016/j.jksuci.2020.03.011openalex-snapshot
Using a small amount of text-independent speech data for a BiLSTM large-scale speaker identification approach
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.06.045openalex-snapshot
Deep multi-metric learning for text-independent speaker verification
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.09.014openalex-snapshot
RSKNet-MTSP: Effective and portable deep architecture for speaker verification
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.03.004openalex-snapshot
Speaker recognition based on deep learning: An overview
inferred← citeshttps://doi.org/10.1109/access.2023.3286034openalex-snapshot
Analysis-Based Optimization of Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification
inferred← citeshttps://doi.org/10.1109/apsipaasc47483.2019.9023253openalex-snapshot
Triplet Based Embedding Distance and Similarity Learning for Text-independent Speaker Verification
inferred← citeshttps://doi.org/10.1109/apsipaasc47483.2019.9023304openalex-snapshot
Deep Segment Attentive Embedding for Duration Robust Speaker Verification
inferred← citeshttps://doi.org/10.1109/asru46091.2019.9003995openalex-snapshot
Logistic Similarity Metric Learning via Affinity Matrix for Text-Independent Speaker Verification
inferred← citeshttps://doi.org/10.1109/asru51503.2021.9688017openalex-snapshot
SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification
inferred← citeshttps://doi.org/10.1109/cas47993.2019.9075461openalex-snapshot
Speaker identification using convolutional neural network for clean and noisy speech samples
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01248openalex-snapshot
Active Speakers in Context
inferred← citeshttps://doi.org/10.1109/ic2ie53219.2021.9649269openalex-snapshot
Analysis of KNN in Classification of Firearms Sounds using Fast Fourier Transform
inferred← citeshttps://doi.org/10.1109/icai52203.2021.9445238openalex-snapshot
Voice Spoofing Countermeasure for Synthetic Speech Detection
inferred← citeshttps://doi.org/10.1109/icai58407.2023.10136626openalex-snapshot
Speaker Recognition in Realistic Scenario Using Multimodal Data
inferred← citeshttps://doi.org/10.1109/icarsc49921.2020.9096166openalex-snapshot
Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN
inferred← citeshttps://doi.org/10.1109/icassp.2019.8683088openalex-snapshot
Learning Discriminative Features in Sequence Training without Requiring Framewise Labelled Data
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054440openalex-snapshot
Frequency and Temporal Convolutional Attention for Text-Independent Speaker Recognition
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00033openalex-snapshot
MAAS: Multi-modal Assignation for Active Speaker Detection
inferred← citeshttps://doi.org/10.1109/ietc54973.2022.9796710openalex-snapshot
Audio Event Recognition in Noisy Environments using Power Spectral Density and Dimensionality Reduction
inferred← citeshttps://doi.org/10.1109/iscslp49672.2021.9362054openalex-snapshot
Hierarchically Attending Time-Frequency and Channel Features for Improving Speaker Verification
inferred← citeshttps://doi.org/10.1109/iscslp57327.2022.10037902openalex-snapshot
Separate-to-Recognize: Joint Multi-target Speech Separation and Speech Recognition for Speaker-attributed ASR
inferred← citeshttps://doi.org/10.1109/itms52826.2021.9615342openalex-snapshot
Speaker Identification using Triplet Loss Function Combined with Clustering Techniques
inferred← citeshttps://doi.org/10.1109/slt.2018.8639601openalex-snapshot
Training Speaker Recognition Models with Recording-Level Labels
inferred← citeshttps://doi.org/10.1109/taslp.2019.2937413openalex-snapshot
A Gated Recurrent Convolutional Neural Network for Robust Spoofing Detection
inferred← citeshttps://doi.org/10.1109/taslp.2020.2990275openalex-snapshot
Speaker Verification by Partial AUC Optimization With Mahalanobis Distance Metric Learning
inferred← citeshttps://doi.org/10.1109/tmm.2026.3651080openalex-snapshot
Noise Aware Audio-Visual Speech Denoising
inferred← citeshttps://doi.org/10.1109/ubmk52708.2021.9559031openalex-snapshot
CNN-based Text-independent Automatic Speaker Identification Using Short Utterances
inferred← citeshttps://doi.org/10.1145/3377170.3377259openalex-snapshot
Multi-task Learning for Animal Species and Group Category Classification
inferred← citeshttps://doi.org/10.1145/3427228.3427274openalex-snapshot
SEEF-ALDR: A Speaker Embedding Enhancement Framework via Adversarial Learning based Disentangled Representation
inferred← citeshttps://doi.org/10.1186/s13636-019-0166-8openalex-snapshot
Introducing phonetic information to speaker embedding for speaker verification
inferred← citeshttps://doi.org/10.1186/s40537-021-00435-9openalex-snapshot
Development of a regional voice dataset and speaker classification based on machine learning
inferred← citeshttps://doi.org/10.15276/hait.06.2023.7openalex-snapshot
The structural tuning of the convolutional neural network for speaker identification in mel frequency cepstrum coefficients space
inferred← citeshttps://doi.org/10.1631/fitee.1900690openalex-snapshot
Latent discriminative representation learning for speaker recognition
inferred← citeshttps://doi.org/10.18653/v1/2020.repl4nlp-1.12openalex-snapshot
A Metric Learning Approach to Misogyny Categorization
inferred← citeshttps://doi.org/10.21437/iberspeech.2022-53openalex-snapshot
The BioVoz Project: Secure Speech Biometrics by Deep Processing Techniques
inferred← citeshttps://doi.org/10.21437/interspeech.2019-2177openalex-snapshot
Spatial Pyramid Encoding with Convex Length Normalization for Text-Independent Speaker Verification
inferred← citeshttps://doi.org/10.21437/interspeech.2019-2240openalex-snapshot
A Deep Neural Network for Short-Segment Speaker Recognition
inferred← citeshttps://doi.org/10.21437/interspeech.2019-2357openalex-snapshot
Large Margin Softmax Loss for Speaker Verification
inferred← citeshttps://doi.org/10.21437/interspeech.2021-1167openalex-snapshot
Additive Phoneme-Aware Margin Softmax Loss for Language Recognition
inferred← citeshttps://doi.org/10.25130/tjes.32.2.19openalex-snapshot
Speaker Identification and Verification Using Convolutional Neural Network CNN
inferred← citeshttps://doi.org/10.3311/ppee.17024openalex-snapshot
Deep Learning Methods in Speaker Recognition: A Review
inferred← citeshttps://doi.org/10.3311/ppee.20971openalex-snapshot
Speaker Recognition through Deep Learning Techniques
inferred← citeshttps://doi.org/10.3390/app10249004openalex-snapshot
Weighted Cluster-Range Loss and Criticality-Enhancement Loss for Speaker Recognition
inferred← citeshttps://doi.org/10.3390/app11125659openalex-snapshot
On a Vector towards a Novel Hearing Aid Feature: What Can We Learn from Modern Family, Voice Classification and Deep Learning Algorithms
inferred← citeshttps://doi.org/10.3390/app12157463openalex-snapshot
Pseudo-Phoneme Label Loss for Text-Independent Speaker Verification
inferred← citeshttps://doi.org/10.48550/arxiv.1906.08873openalex-snapshot
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition
inferred← citeshttps://doi.org/10.48550/arxiv.2001.00378openalex-snapshot
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
inferred← citeshttps://doi.org/10.48550/arxiv.2007.00659openalex-snapshot
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity
inferred← citeshttps://doi.org/10.48550/arxiv.2101.03682openalex-snapshot
MAAS: Multi-modal Assignation for Active Speaker Detection
inferred← citeshttps://doi.org/10.48550/arxiv.2106.12851openalex-snapshot
Additive Phoneme-aware Margin Softmax Loss for Language Recognition
inferred← citeshttps://doi.org/10.56828/jser.2022.1.1.3openalex-snapshot
Voiceprint Recognition based on Machine Learning Methods
inferred← citeshttps://doi.org/10.5829/ije.2025.38.10a.17openalex-snapshot
Improving the Performance of Speaker Recognition System Using Optimized VGG Convolutional Neural Network and Data Augmentation
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.