4 papers
FFASR: Benchmarking Far-Field Automatic Speech Recognition using High-Fidelity Simulated RIRs
Shivam Saini, Eric Bezzam, Georg Götz +5
Far-field automatic speech recognition(ASR) degrades under reverberation, noise, and talker motion, yet the benchmarks that drive model selection emphasize close-microphone speech.…
Treble10: A high-quality dataset for far-field speech recognition, dereverberation, and enhancement
Sarabeth S. Mullins, Georg Götz, Eric Bezzam +2
Accurate far-field speech datasets are critical for tasks such as automatic speech recognition (ASR), dereverberation, speech enhancement, and source separation. However, current d…
Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation
Vaibhav Srivastav, Steven Zheng, Eric Bezzam +6
We present the Open ASR Leaderboard, a reproducible benchmarking platform with community contributions from academia and industry. It compares 86 open-source and proprietary system…
Revisiting PSF models: unifying framework and high-performance implementation
Yan Liu, Vasiliki Stergiopoulou, Jonathan Chuah +5
Localization microscopy often relies on detailed models of point spread functions. For applications such as deconvolution or PSF engineering, accurate models for light propagation…