Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Heydari, Mojtaba"'
We introduce ImmerseDiffusion, an end-to-end generative audio model that produces 3D immersive soundscapes conditioned on the spatial, temporal, and environmental conditions of sound objects. ImmerseDiffusion is trained to generate first-order ambiso
Externí odkaz:
http://arxiv.org/abs/2410.14945
The rise of singing voice synthesis presents critical challenges to artists and industry stakeholders over unauthorized voice usage. Unlike synthesized speech, synthesized singing voices are typically released in songs containing strong background mu
Externí odkaz:
http://arxiv.org/abs/2309.07525
Singing voice beat and downbeat tracking posses several applications in automatic music production, analysis and manipulation. Among them, some require real-time processing, such as live performance processing and auto-accompaniment for singing input
Externí odkaz:
http://arxiv.org/abs/2306.02372
Autor:
Heydari, Mojtaba, Duan, Zhiyao
Tracking beats of singing voices without the presence of musical accompaniment can find many applications in music production, automatic song arrangement, and social media interaction. Its main challenge is the lack of strong rhythmic and harmonic pa
Externí odkaz:
http://arxiv.org/abs/2208.14578
Inferring music time structures has a broad range of applications in music production, processing and analysis. Scholars have proposed various methods to analyze different aspects of time structures, such as beat, downbeat, tempo and meter. Many stat
Externí odkaz:
http://arxiv.org/abs/2111.00704
In recent years, filterbank learning has become an increasingly popular strategy for various audio-related machine learning tasks. This is partly due to its ability to discover task-specific audio characteristics which can be leveraged in downstream
Externí odkaz:
http://arxiv.org/abs/2108.10382
The online estimation of rhythmic information, such as beat positions, downbeat positions, and meter, is critical for many real-time music applications. Musical rhythm comprises complex hierarchical relationships across time, rendering its analysis i
Externí odkaz:
http://arxiv.org/abs/2108.03576
Autor:
Hosseinipour, Ali, Heydari, Mojtaba, Mohebbinejad, Alireza, Mosavat, Seyed Hamdollah, Parkhah, Mohammad, Hashempur, Mohammad Hashem
Publikováno v:
In EXPLORE May-June 2024 20(3):424-429
Autor:
Boroughani, Mohadese, Tahmasbi, Zahra, Heidari, Mohamad Mahdi, Johari, Mohammadkarim, Hashempur, Mohammad Hashem, Heydari, Mojtaba
Publikováno v:
In Heliyon 15 April 2024 10(7)
Autor:
Yousefi, Mohammad, Reihani, Hamid, Heydari, Mojtaba, Nasimi Doost Azgomi, Ramin, Hashempur, Mohammad Hashem
Publikováno v:
In Preventive Medicine Reports March 2024 39