4 papers
PARSA-Bench: A Comprehensive Persian Audio-Language Model Benchmark
Mohammad Javad Ranjbar Kalahroodi, Mohammad Amini, Parmis Bathayan +2
Persian poses unique audio understanding challenges through its classical poetry, traditional music, and pervasive code-switching, none of which is captured by existing benchmarks.…
PersianPunc: A Large-Scale Dataset and BERT-Based Approach for Persian Punctuation Restoration
Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery
Punctuation restoration is essential for improving the readability and downstream utility of automatic speech recognition (ASR) outputs, yet remains underexplored for Persian despi…
ParsVoice: A Large-Scale Multi-Speaker Persian Speech Corpus for Text-to-Speech Synthesis
Mohammad Javad Ranjbar Kalahroodi, Heshaam Faili, Azadeh Shakery
Persian remains substantially underrepresented in open speech-text resources, limiting progress in multi-speaker text-to-speech (TTS), speech-language modelling, and low-resource s…
PersianMedQA: Evaluating Large Language Models on a Persian-English Bilingual Medical Question Answering Benchmark
Mohammad Javad Ranjbar Kalahroodi, Amirhossein Sheikholselami, Sepehr Karimi +3
Large Language Models (LLMs) have achieved remarkable performance on a wide range of Natural Language Processing (NLP) benchmarks, often surpassing human-level accuracy. However, t…