Text-Independent Speaker Verification

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Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (70 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Utterance-level Aggregation For Speaker Recognition In The Wild
  26 Feb 2019 10 repositories listed Syntology ran 3 of 23 samples · 20 unverified · 1 pointer-only (licence)
  The objective of this paper is speaker recognition "in the wild"-where utterances may be of variable length and also contain irrelevant signals.
• RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification
  17 Apr 2019 5 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  In this study, we explore end-to-end deep neural networks that input raw waveforms to improve various aspects: front-end speaker embedding extraction including model architecture, pre-training scheme, additional…
• Text-Independent Speaker Verification Using 3D Convolutional Neural Networks
  26 May 2017 5 repositories listed
  In our paper, we propose an adaptive feature learning by utilizing the 3D-CNNs for direct speaker model creation in which, for both development and enrollment phases, an identical number of spoken utterances per speaker…
• Improved RawNet with Feature Map Scaling for Text-independent Speaker Verification using Raw Waveforms
  1 Apr 2020 2 repositories listed
  Recent advances in deep learning have facilitated the design of speaker verification systems that directly input raw waveforms.
• Multiobjective Optimization Training of PLDA for Speaker Verification
  25 Aug 2018 2 repositories listed
  Most current state-of-the-art text-independent speaker verification systems take probabilistic linear discriminant analysis (PLDA) as their backend classifiers.
• Universal Pooling Method of Multi-layer Features from Pretrained Models for Speaker Verification
  12 Sep 2024 1 repository listed
  Recent advancements in automatic speaker verification (ASV) studies have been achieved by leveraging large-scale pretrained networks.
• DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification
  20 Mar 2023 1 repository listed
  To effectively leverage the long-term dependencies of audio signals and constrain model complexity, we introduce a novel module called Global-aware Filter layer (GF layer) in this work, which employs a set of learnable…
• Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification
  22 Feb 2023 1 repository listed
  Visual speech (i.
• The effect of speech pathology on automatic speaker verification -- a large-scale study
  13 Apr 2022 1 repository listed
  Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data.
• Decomposed Temporal Dynamic CNN: Efficient Time-Adaptive Network for Text-Independent Speaker Verification Explained with Speaker Activation Map
  29 Mar 2022 1 repository listed
  To extract accurate speaker information for text-independent speaker verification, temporal dynamic CNNs (TDY-CNNs) adapting kernels to each time bin was proposed.
• FilterAugment: An Acoustic Environmental Data Augmentation Method
  7 Oct 2021 1 repository listed
  Thus, training acoustic models for audio and speech tasks requires regularization on various acoustic environments in order to achieve robust performance in real life applications.
• Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemetic Analysis
  7 Oct 2021 1 repository listed
  The temporal dynamic model adapts itself to phonemes without explicitly given phoneme information during training, and results show the necessity to consider phoneme variation within utterances for more accurate and…
• FDN: Finite Difference Network with Hierarchical Convolutional Features for Text-independent Speaker Verification
  18 Aug 2021 1 repository listed
  For example, RawNet and RawNet2 extracted speaker's feature embeddings from waveforms automatically for recognizing their voice, which can vastly reduce the front-end computation and obtain state-of-the-art performance.
• SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System
  5 Apr 2021 1 repository listed
  To the best of our knowledge, this is the first study of speaker verification systems at the scale of 46 languages.
• Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning
  13 Dec 2020 1 repository listed
  First, we examine a simple contrastive learning approach (SimCLR) with a momentum contrastive (MoCo) learning framework, where the MoCo speaker embedding system utilizes a queue to maintain a large set of negative…
• Masked Proxy Loss For Text-Independent Speaker Verification
  9 Nov 2020 1 repository listed
  We further propose Multinomial Masked Proxy (MMP) loss to leverage the hardness of speaker pairs.
• Y-Vector: Multiscale Waveform Encoder for Speaker Embedding
  24 Oct 2020 1 repository listed
  State-of-the-art text-independent speaker verification systems typically use cepstral features or filter bank energies as speech features.
• Deep multi-metric learning for text-independent speaker verification
  17 Jul 2020 1 repository listed
  Text-independent speaker verification is an important artificial intelligence problem that has a wide spectrum of applications, such as criminal investigation, payment certification, and interest-based customer services.
• Noise Invariant Frame Selection: A Simple Method to Address the Background Noise Problem for Text-independent Speaker Verification
  3 May 2018 1 repository listed
  The performance of speaker-related systems usually degrades heavily in practical applications largely due to the presence of background noise.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.