Speaker Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/icewing1996/SincNet_asr
https://github.com/inconnu11/Objective-evaluation_speech_synthesis
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
https://github.com/jaehwlee/MuSincNet
https://github.com/jennyqsun/EEG-Decision-SincNet
https://github.com/joselyn-rodriguez/s3prl
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation
https://github.com/juanmc2005/SpeakerEmbeddingLossComparison
https://github.com/jyhan03/channel-decorrelation
Improving speaker discrimination of target speech extraction with time-domain SpeakerBeam
https://github.com/kacper1095/speaker-gender-classification-and-deepdream
https://github.com/lizeqian/Compositional-embedding-for-speaker-diarization
https://github.com/mbzuai-nlp/artst
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/mbzuai-nlp/sttatts
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/mu-y/diarist
Streaming Speaker-Attributed ASR with Token-Level Speaker Embeddings
https://github.com/philipperemy/deep-speaker
https://github.com/pkwww/SincNet_MLP
https://github.com/prajual/Deep_Speaker
https://github.com/pwc-1/Paper-10/tree/main/speecht5
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/qqueing/DeepSpeaker-pytorch
https://github.com/rishikksh20/AudioMAE-pytorch
https://github.com/s3prl/s3prl
Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio Representation
https://github.com/sajabdoli/UAP
https://github.com/sanyuan-chen/unispeech
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
https://github.com/shangeth/wavencoder
https://github.com/theolepage/ssl-for-slr
https://github.com/theolepage/sslsv
Delving into VoxCeleb: environment invariant speaker recognition
https://github.com/tuananh0305/End2End_SpeakRecognition_SincNet
https://github.com/vohoaiviet/voice-vector
https://github.com/wangleiai/dVectorSpeakerRecognition
https://github.com/wenet-e2e/wespeaker
VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification Benchmark
https://github.com/yangyucheng000/University/tree/main/model-3/speecht5
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing
https://github.com/zhudu/LOL-Recongnition-by-Deep-Speaker
https://github.com/zzmtsvv/snzs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.