Towards audio-visual deep learning methods for singing voice separation and lip synchronization

A typical music audio consists of different sounds spread across voices and musical instruments. We propose a low-cost deep learning (DL) method for simultaneously isolating multiple sound sources present in a music audio. The specific case of isolating a voice in a music audio containing more than...

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Detalles Bibliográficos
Autor: Shenoy Kadandale, Venkatesh
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/675490
Acceso en línea:http://hdl.handle.net/10803/675490
Access Level:acceso abierto
Palabra clave:Music source separation
Lip synchronization
Audio-visual models
Deep learning
Multimodal learning
Separació de fonts musicals
Sincronització de llavis
Models audiovisuals
Aprenentatge profund
Aprenentatge multimodal
Separación de fuentes de música
Sincronización de labios
Maquetas audiovisuales
Aprendizaje profundo
Aprendizaje multimodal
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Descripción
Sumario:A typical music audio consists of different sounds spread across voices and musical instruments. We propose a low-cost deep learning (DL) method for simultaneously isolating multiple sound sources present in a music audio. The specific case of isolating a voice in a music audio containing more than one overlapping singing voice is particularly challenging. The existing source separation methods operating in audio modality alone do not perform well in isolating a particular singing voice in such multi-voice settings. To address this problem, we present an audio-visual DL method that makes use of motion features sourced from the visual modality to assist in the singing voice separation task. Finally, we develop a new DL model to detect the synchronization between lip motion and a voice audio. We show that the visual features learned by our lip synchronization detector serves as a useful means in guiding the singing voice separation in multi-voice music videos.