https://github.com/tayebiarasteh/pathology_asv
공식 코드The effect of speech pathology on automatic speaker verification -- a large-scale study
Papers with Code 아카이브
Speaker Verification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/theolepage/sslsv
공식 코드https://github.com/theolepage/wavlm_ssl_sv
공식 코드https://github.com/thuhcsi/adsv_voting
공식 코드Voting for the right answer: Adversarial defense for speaker verification
https://github.com/ubenwa/cryceleb2023
공식 코드CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds
https://github.com/uber/ludwig
공식 코드https://github.com/vigor-jzhang/icc-regularizer
공식 코드Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer
https://github.com/voice-privacy-challenge/voice-privacy-challenge-2024
공식 코드https://github.com/vpspeech/ChildAugment
공식 코드ChildAugment: Data Augmentation Methods for Zero-Resource Children's Speaker Verification
https://github.com/wenet-e2e/wespeaker
공식 코드Golden Gemini is All You Need: Finding the Sweet Spots for Speaker Verification
https://github.com/wenhao-yang/twowayradio
공식 코드Robust Channel Learning for Large-Scale Radio Speaker Verification
https://github.com/wentaozhu/speechnas
공식 코드https://github.com/wiebket/bt4vt
공식 코드https://github.com/wiebket/sveva-fair
공식 코드SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification
https://github.com/wngh1187/diff-sv
공식 코드https://github.com/wngh1187/exu-net
공식 코드Extended U-Net for Speaker Verification in Noisy Environments
https://github.com/wngh1187/ipet
공식 코드Integrated Parameter-Efficient Tuning for General-Purpose Audio Models
https://github.com/wngh1187/rawnext
공식 코드https://github.com/wnhsu/ScalableFHVAE
공식 코드Scalable Factorized Hierarchical Variational Autoencoder Training
https://github.com/wq2012/SpectralCluster
공식 코드https://github.com/wxzyd123/pivotal_objective_perturbation
공식 코드Mitigating Unauthorized Speech Synthesis for Voice Protection
https://github.com/xieyuankun/Codecfake
공식 코드The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio
https://github.com/xieyuankun/all-type-add
공식 코드Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
https://github.com/xieyuankun/alm-add
공식 코드Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?
https://github.com/xieyuankun/fsd-dataset
공식 코드https://github.com/xieyuankun/st-codecfake
공식 코드Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition
https://github.com/xuchenglin28/speaker_extraction
공식 코드Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech
https://github.com/yaselley/ssl_layerwise_deepfake
공식 코드Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
https://github.com/ychenl/ds-tdnn
공식 코드DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification
https://github.com/ychenl/pssrf
공식 코드PSVRF: Learning to restore Pitch-Shifted Voice without reference
https://github.com/ydkwim/ctal
공식 코드CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
https://github.com/ydwen/opensphere/blob/main/opensphere/module/head/simple.py
공식 코드https://github.com/yip-jia-qi/aca-net
공식 코드ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
https://github.com/yistLin/FragmentVC
공식 코드https://github.com/yzyouzhang/AIR-ASVspoof
공식 코드One-class learning towards generalized voice spoofing detection
https://github.com/yzyouzhang/Empirical-Channel-CM
공식 코드An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.