https://github.com/Pandade1997/tera_asvproof
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Speaker Recognition is the process of identifying or confirming the identity of a person given his speech segments.
Source: Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
AutoSpeech: Neural Architecture Search for Speaker Recognition
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
DeepTalk: Vocal Style Encoding for Speaker Recognition and Speech Synthesis
TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech
Utterance-level Aggregation For Speaker Recognition In The Wild
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking
Utterance-level Aggregation For Speaker Recognition In The Wild
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.