5 papers
Persian MusicGen: A Large-Scale Dataset and Culturally-Aware Generative Model for Persian Music
Mohammad Hossein Sameti, Diba Hadi Esfangereh, Sepehr Harfi Moridani +2
Persian music, with its unique tonalities, modal systems (Dastgah), and rhythmic structures, presents significant challenges for music generation models trained primarily on Wester…
Toward IIT-Inspired Consciousness in LLMs: A Reward-Based Learning Framework
Hamid Reza Akbari, Mohammad Hossein Sameti, Amir M. Mansourian +2
The pursuit of Artificial General Intelligence (AGI) is a central goal in language model development, in which consciousness-like processing could serve as a key facilitator. While…
Persian Musical Instruments Classification Using Polyphonic Data Augmentation
Diba Hadi Esfangereh, Mohammad Hossein Sameti, Sepehr Harfi Moridani +2
Musical instrument classification is essential for music information retrieval (MIR) and generative music systems. However, research on non-Western traditions, particularly Persian…
Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
Mohammad Hossein Sameti, Sepehr Harfi Moridani, Ali Zarean +1
Pre-trained transformer-based models have significantly advanced automatic speech recognition (ASR), yet they remain sensitive to accent and dialectal variations, resulting in elev…
No Concept Left Behind: Test-Time Optimization for Compositional Text-to-Image Generation
Mohammad Hossein Sameti, Amir M. Mansourian, Arash Marioriyad +3
Despite recent advances in text-to-image (T2I) models, they often fail to faithfully render all elements of complex prompts, frequently omitting or misrepresenting specific objects…