Speaker Verification
170 papers with code • 5 benchmarks • 6 datasets
Speaker verification is the verifying the identity of a person from characteristics of the voice.
( Image credit: Contrastive-Predictive-Coding-PyTorch )
Libraries
Use these libraries to find Speaker Verification models and implementations
VoxCeleb1
VoxCeleb2
VGG-Sound
CN-CELEB
EVI
Latest papers
Haha-Pod: An Attempt for Laughter-based Non-Verbal Speaker Verification
It is widely acknowledged that discriminative representation for speaker verification can be extracted from verbal speech.
Diff-SV: A Unified Hierarchical Framework for Noise-Robust Speaker Verification Using Score-Based Diffusion Probabilistic Models
wngh1187/diff-sv
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Diff-SV unifies a DPM-based speech enhancement system with a speaker embedding extractor, and yields a discriminative and noise-tolerable speaker representation through a hierarchical structure.
RoDia: A New Dataset for Romanian Dialect Identification from Speech
We introduce RoDia, the first dataset for Romanian dialect identification from speech.
Self-Distillation Network with Ensemble Prototypes: Learning Robust Speaker Representations without Supervision
alibaba-damo-academy/3D-Speaker
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It assigns representation of augmented views of utterances to the same prototypes as the representation of the original view, thereby enabling effective knowledge transfer between the views.
PAS: Partial Additive Speech Data Augmentation Method for Noise Robust Speaker Verification
rst0070/Partial_Additive_Speech
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In this paper, we propose a new additive noise method, partial additive speech (PAS), which aims to train SV systems to be less affected by noisy environments.
Exploring Binary Classification Loss For Speaker Verification
hunterhuan/sphereface2_speaker_verification
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The mismatch between close-set training and open-set testing usually leads to significant performance degradation for speaker verification task.
Disentanglement in a GAN for Unconditional Speech Synthesis
rf5/simple-asgan
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We confirm that ASGAN's latent space is disentangled: we demonstrate how simple linear operations in the space can be used to perform several tasks unseen during training.
Long-term Conversation Analysis: Exploring Utility and Privacy
ol-mega/ppca
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The analysis of conversations recorded in everyday life requires privacy protection.
Evaluation of Speech Representations for MOS prediction
freds0/bspeech-mos-prediction
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Among the supervised and self-supervised learning models using BRSpeechMOS, Whisper-Small achieved the best linear correlation of 0. 6980, and the speaker verification model, SpeakerNet, had linear correlation of 0. 6963.
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems
We present Malafide, a universal adversarial attack against automatic speaker verification (ASV) spoofing countermeasures (CMs).
