2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Incorporating Error Level Noise Embedding for Improving LLM-Assisted Robustness in Persian Speech Recognition
Zahra Rahmani, Hossein Sameti
Automatic Speech Recognition (ASR) systems suffer significant performance degradation in noisy environments, a challenge that is especially severe for low-resource languages such a…
Improving Direct Persian-English Speech-to-Speech Translation with Discrete Units and Synthetic Parallel Data
Sina Rashidi, Hossein Sameti
Direct speech-to-speech translation (S2ST), in which all components are trained jointly, is an attractive alternative to cascaded systems because it offers a simpler pipeline and l…
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…
PCoQA: Persian Conversational Question Answering Dataset
Hamed Hematian Hemati, Atousa Toghyani, Atena Souri +3
Humans seek information regarding a specific topic through performing a conversation containing a series of questions and answers. In the pursuit of conversational question answeri…