DPDFNet: Evaluation Set A multilingual, long form, low SNR evaluation set introduced in the paper “DPDFNet: Boosting DeepFilterNet2 via Dual Path RNN” . At a glance 12 languages : arabic, dutch, french, german, hungarian, korean, polish, portuguese, russian, spanish, turkish, vietnamese 9 noise scenes : airport, car, office, pub, rain, restaurant, street, subway, train SNR (dB) : 0 / 5 / 10 Duration : ~2.5 minutes per clip (includes speech free intervals ) Size : 324 clips (~ 13.5 hours ) What you get This repo is meant for evaluation , and it includes: Noisy mixtures Clean references Enhanced outputs from the models reported in the paper (ours and open source) Recommended use Use this set to evaluate: Causal / streaming enhancement models on long recordings Robustness to silence → speech transitions , non stationary noises , and multilingual speech Stability on clips that may contain multiple speakers within a single recording Citation If you use this evaluation set, please cite the DPDFNet paper:
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