[HTML][HTML] Singing voice detection: a survey
Singing voice detection or vocal detection is a classification task that determines whether
there is a singing voice in a given audio segment. This process is a crucial preprocessing …
there is a singing voice in a given audio segment. This process is a crucial preprocessing …
End-to-end lyrics alignment for polyphonic music using an audio-to-character recognition model
Time-aligned lyrics can enrich the music listening experience by enabling karaoke, text-
based song retrieval and intra-song navigation, and other applications. Compared to text-to …
based song retrieval and intra-song navigation, and other applications. Compared to text-to …
[HTML][HTML] Research on singing voice detection based on a long-term recurrent convolutional network with vocal separation and temporal smoothing
Singing voice detection or vocal detection is a classification task that determines whether a
given audio segment contains singing voices. This task plays a very important role in vocal …
given audio segment contains singing voices. This task plays a very important role in vocal …
Deep learning approaches in topics of singing information processing
Singing, the vocal productionof musical tones, is one of the most important elements of
music. Addressing the needs of real-world applications, the study of technologies related to …
music. Addressing the needs of real-world applications, the study of technologies related to …
An introduction to signal processing for singing-voice analysis: High notes in the effort to automate the understanding of vocals in music
Humans have devised a vast array of musical instruments, but the most prevalent instrument
remains the human voice. Thus, techniques for applying audio signal processing methods to …
remains the human voice. Thus, techniques for applying audio signal processing methods to …
[CARTE][B] Music data analysis: Foundations and applications
This book provides a comprehensive overview of music data analysis, from introductory
material to advanced concepts. It covers various applications including transcription and …
material to advanced concepts. It covers various applications including transcription and …
Automatic lyrics-to-audio alignment on polyphonic music using singing-adapted acoustic models
Lyrics-to-audio alignment is to automatically align the lyrical words with the mixed singing
audio (singing voice+ musical accompaniment). Such alignment can be achieved with an …
audio (singing voice+ musical accompaniment). Such alignment can be achieved with an …
Classification of vocal and non-vocal segments in audio clips using genetic algorithm based feature selection (GAFS)
The technology of music information retrieval (MIR) is an emerging field that helps in tagging
each portion of an audio clip. A majority of the subtasks of MIR need an application that …
each portion of an audio clip. A majority of the subtasks of MIR need an application that …
MM-ALT: A multimodal automatic lyric transcription system
Automatic lyric transcription (ALT) is a nascent field of study attracting increasing interest
from both the speech and music information retrieval communities, given its significant …
from both the speech and music information retrieval communities, given its significant …
[PDF][PDF] Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners.
In music information retrieval, we often make assertions about what features of music are
important to study, one of which is vocals. While the importance of vocals in music …
important to study, one of which is vocals. While the importance of vocals in music …