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eess.AS2023
Iterative Shallow Fusion of Backward Language Model for End-to-End Speech Recognition
Atsunori Ogawa, Takafumi Moriya, Naoyuki Kamo +2
We propose a new shallow fusion (SF) method to exploit an external backward language model (BLM) for end-to-end automatic speech recognition (ASR). The BLM has complementary charac…
eess.AS2023
Target Speech Extraction with Conditional Diffusion Model
Naoyuki Kamo, Marc Delcroix, Tomohiro Nakatani
Diffusion model-based speech enhancement has received increased attention since it can generate very natural enhanced signals and generalizes well to unseen conditions. Diffusion m…