...Shih-Chuan Chu; Chung-Hsien Wu Zero-shot speech enhancement ( SE ) aims to improve speech quality in unseen acoustic conditions without requiring task-specific fine-tuning. This work proposes expanded noise modeling for scalable and adaptive zero-shot speech enhancement (EN-AZS), a zero-shot SE...

... be seen at Link to the terms of the CC BY-NC 4.0 licence . Speech separation speech enhancement cascaded multi-task learning separation priority pipeline transfer learning Speech separation (SS) emerged as a solution to the cocktail party problem [ 5 ], which highlights people’s ability...

... to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY-NC 4.0 licence . Target speaker extraction multichannel source separation conditional variational autoencoder (CVAE) speech enhancement In daily...

...Ryoga Jinzai; Kouei Yamaoka; Shoji Makino; Nobutaka Ono; Mitsuo Matsumoto; Takeshi Yamada We previously proposed the virtual microphone technique to improve speech enhancement performance in underdetermined situations, in which the number of channels is virtually increased by estimating extra...

...Kanghao Zhang; Shulin He; Hao Li; Xueliang Zhang Single-channel speech enhancement aims to remove the interfering noise and reverberation in real environments by a single microphone, which is a very challenging task in the speech signal processing field. Over the past years, deep learning has shown...