Author

Mohammad Javad Ranjbar Kalahroodi

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#natural language process... Mar 2026

PARSA-Bench: A Comprehensive Persian Audio-Language Model Benchmark

Across most tasks, text-only baselines outperform their audio counterparts, so audio understanding rather than language knowledge remains the main limitation, and supplying the transcript alongside the audio lifts weak models to near their text-only level.

Mohammad Javad Ranjbar Kalahroodi, M. Amini, Parmis Bathayan et al. · arXiv.org · 2 citations

#artificial intelligence Oct 2025

ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis

ParsVoice is introduced, the largest publicly available Persian speech-text corpus tailored for training multi-speaker TTS systems, along with a scalable pipeline to construct high-quality speech-text data from long-form audiobook recordings, supporting reproducible research on Persian speech synthesis and low-resource...

Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery · arXiv.org · 3 citations · ⚡1