2 papers
eess.AS2023
DiaCorrect: Error Correction Back-end For Speaker Diarization
Jiangyu Han, Federico Landini, Johan Rohdin +5
In this work, we propose an error correction framework, named DiaCorrect, to refine the output of a diarization system in a simple yet effective way. This method is inspired by err…
eess.AS2023
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanism
Yuguang Yang, Yu Pan, Jingjing Yin +3
SqueezeFormer has recently shown impressive performance in automatic speech recognition (ASR). However, its inference speed suffers from the quadratic complexity of softmax-attenti…