mlsanityData to 14 Oct 2026

Reshape Dimensions Network for Speaker Recognition

arXiv 2407.18223 ↗First posted 25 Jul 2024eess.AScited by 28

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Abstract (arXiv)

In this paper, we present Reshape Dimensions Network (ReDimNet), a novel neural network architecture for extracting utterance-level speaker representations. Our approach leverages dimensionality reshaping of 2D feature maps to 1D signal representation and vice versa, enabling the joint usage of 1D and 2D blocks. We propose an original network topology that preserves the volume of channel-timestep-frequency outputs of 1D and 2D blocks, facilitating efficient residual feature maps aggregation. Moreover, ReDimNet is efficiently scalable, and we introduce a range of model sizes, varying from 1 to 15 M parameters and from 0.5 to 20 GMACs. Our experimental results demonstrate that ReDimNet achieves state-of-the-art performance in speaker recognition while reducing computational complexity and the number of model parameters.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Jul 2024.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 9; 2026: 18.

28 papers.

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  1. 2025SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditionscited by 6
  2. 2025VoXtream: Full-Stream Text-to-Speech with Extremely Low Latencycited by 5
  3. 2024Zero-Shot Voice Conversion via Content-Aware Timbre Ensemble and Conditional Flow Matchingcited by 3
  4. 2025Aligning Generative Speech Enhancement with Perceptual Feedbackcited by 3
  5. 2025IDFace: Face Template Protection for Efficient and Secure Identificationcited by 3
  6. 2025Enhancing Speaker Verification with w2v-BERT 2.0 and Knowledge Distillation guided Structured Pruningcited by 3
  7. 2026VoXtream2: Full-stream TTS with dynamic speaking rate controlcited by 3
  8. 2025LASPA: Language Agnostic Speaker Disentanglement with Prefix-Tuned Cross-Attentioncited by 2
  9. 2026Scores Know Bobs Voice: Speaker Impersonation Attackcited by 2
  10. 2025Interpolating Speaker Identities in Embedding Space for Data Expansioncited by 1
  11. 2025Provable Speech Attributes Conversion via Latent Independencecited by 1
  12. 2025DELULU: Discriminative Embedding Learning Using Latent Units for Speaker-Aware Self-Trained Speech Foundational Modelcited by 1
16 more
  1. 2026Disentangling Speaker Traits for Deepfake Source Verification via Chebyshev Polynomial and Riemannian Metric Learningcited by 1
  2. 2026What and When to Learn: CURriculum Ranking Loss for Large-Scale Speaker Verificationcited by 1
  3. 2026Performance and Complexity Trade-off Optimization of Speech Models During Trainingcited by 0
  4. 2026Triage knowledge distillation for speaker verificationcited by 0
  5. 2026DFKI-Speech System for WildSpoof Challenge: A robust framework for SASV In-the-Wildcited by 0
  6. 2026Tagarela - A Portuguese speech dataset from podcastscited by 0
  7. 2026Enhancing Speaker Verification with Whispered Speech via Post-Processingcited by 0
  8. 2026CleanCodec: Efficient and Robust Speech Tokenization via Perceptually Guided Encodingcited by 0
  9. 2026On Low-Bit Quantization Errors in Speaker Verification: Diagnostic and Mitigationcited by 0
  10. 2026From A to B to A: Palindromic Zero-Shot Voice Conversion with Non-Parallel Datacited by 0
  11. 2026Kiwano: A Cutting-Edge Open-Source Toolkit for Speaker Verificationcited by 0
  12. 2026ZONOS2 Technical Reportcited by 0
  13. 2026MECT: Mixture of Experts with CNN-Transformer Network for Speaker verificationcited by 0
  14. 2026CoLMbo-SV: A Grounded Language Model for Explainable Speaker Verificationcited by 0
  15. 2026InterBias-SV: Compound Conditions in Speaker Verificationcited by 0
  16. 2026FASTDIAR: Frame-level speaker encoder for Streaming Diarizationcited by 0