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Speaker Verification

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하위 태스크: 3
평가표: 12
보존된 평가 기록: 48

Speaker verification is the verifying the identity of a person from characteristics of the voice.

<span style="color:grey; opacity: 0.6">( Image credit: Contrastive-Predictive-Coding-PyTorch )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AI4Bharat/indicSUPERB

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IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages

https://github.com/Alexuan/musical_instrument_embedding

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Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument sounds

https://github.com/AmirmohammadRostami/ASV-anti-spoofing-with-EABN

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Efficient Attention Branch Network with Combined Loss Function for Automatic Speaker Verification Spoof Detection

https://github.com/BUTSpeechFIT/wespeaker_ssl_public

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An attention-based backend allowing efficient fine-tuning of transformer models for speaker verification

https://github.com/DingKe/speaker_embedding_moco

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Learning Speaker Embedding with Momentum Contrast

https://github.com/FFSVC/FFSVC2022_Baseline_System

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The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario

https://github.com/GreatJiweix/DmmlTiSV

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Deep multi-metric learning for text-independent speaker verification

https://github.com/HaibinWu666/spot-adv-by-vocoder

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Adversarial Sample Detection for Speaker Verification by Neural Vocoders

https://github.com/HaydenCaffrey/SIG-VC

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SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and Machines

https://github.com/HuSTeP-Human-Speech-Text-Processing-Lab/XLSR-GRKAN-Conformer

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Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models

https://github.com/IDRnD/ReDimNet

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Reshape Dimensions Network for Speaker Recognition

https://github.com/JaejinCho/espnet_spkidtts

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Learning Speaker Embedding from Text-to-Speech

https://github.com/Jessegator/Audio_robustness_evaluation

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Measuring the Robustness of Audio Deepfake Detectors

https://github.com/Jungjee/RawNet

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RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification

https://github.com/LIAvignon/adversarial-disentangling-autoencoder-for-spk-representation

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Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation

https://github.com/LetterLiGo/SafeEar

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SafeEar: Content Privacy-Preserving Audio Deepfake Detection

https://github.com/Miffyli/asv-cm-reinforce

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An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning

https://github.com/MingruiYuan/SpoofSV

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Spoofing Speaker Verification Systems with Deep Multi-speaker Text-to-speech Synthesis

https://github.com/NVIDIA/NeMo

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TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context

https://github.com/NetaGlazer/ADD-GP

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Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes

https://github.com/PaddlePaddle/PaddleSpeech

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PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit

https://github.com/PolyAI-LDN/evi-paper

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EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification

https://github.com/Snowdar/asv-subtools

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Towards A Unified Conformer Structure: from ASR to ASV Task

https://github.com/SonyCSLParis/ssl-singer-identity

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Singer Identity Representation Learning using Self-Supervised Techniques

https://github.com/TAMU-VITA/AutoSpeech

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AutoSpeech: Neural Architecture Search for Speaker Recognition

https://github.com/TakHemlata/RawBoost-antispoofing

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RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing

https://github.com/Voice-Privacy-Challenge/Voice-Privacy-Challenge-2022

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The VoicePrivacy 2022 Challenge Evaluation Plan

https://github.com/WeidiXie/VGG-Speaker-Recognition

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Utterance-level Aggregation For Speaker Recognition In The Wild

https://github.com/Yuto-Matsunaga/Prompt_Tuning_for_Audio_Deepfake_Detection

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Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset

https://github.com/a43992899/deid-vc

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DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice Conversion

https://github.com/a43992899/noisyspeakerdetection

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Inconsistency Ranking-based Noisy Label Detection for High-quality Data

https://github.com/adipiz99/RawNetLite

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End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation

https://github.com/ai-s2-lab/m2s-add

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Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion

https://github.com/alibaba-damo-academy/3D-Speaker

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Pushing the limits of self-supervised speaker verification using regularized distillation framework

https://github.com/anicolson/SPN-ASI

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Sum-Product Networks for Robust Automatic Speaker Identification

https://github.com/ano-demo/AdvAttacksASVspoof

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Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.