https://github.com/Liu-Feng-deeplearning/CoverHunter
공식 코드CoverHunter: Cover Song Identification with Refined Attention and Alignments
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Cover Song Identification is the task of identifying an alternative version of a previous musical piece, even though it may differ substantially in timbre, tempo, structure, and even fundamental aspects relating to the harmony and melody of the song. The term “cover” is so wide that it ranges from acoustic renditions of a previous song, to Jimi Hendrix’ famous (and radical) reinterpretation of Bob Dylan’s “All Along the Watchtower”, to Rage Against the Machine essentially rewriting Bob Dylan’s “Maggie’s Farm”. Beyond its value for computational musicology and for enhancing music recommendation, Cover Song Identification is of interest because of its potential for benchmarking other music similarity and retrieval algorithms. Chord analysis, melody extraction and music similarity are all strongly connected to Cover Song Identification - another field of music analysis where AI has been applied.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
CoverHunter: Cover Song Identification with Refined Attention and Alignments
A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-By-Humming Task
Accurate and Scalable Version Identification Using Musically-Motivated Embeddings
Towards Cover Song Detection with Siamese Convolutional Neural Networks
Learning a Representation for Cover Song Identification Using Convolutional Neural Network
Learning a Representation for Cover Song Identification Using Convolutional Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.