3 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.AS2023★ 3 cited
Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling
Zhong-Qiu Wang, Samuele Cornell, Shukjae Choi +3
We propose FSB-LSTM, a novel long short-term memory (LSTM) based architecture that integrates full- and sub-band (FSB) modeling, for single- and multi-channel speech enhancement in…
eess.AS2023
Joint unsupervised and supervised learning for context-aware language identification
Jinseok Park, Hyung Yong Kim, Jihwan Park +3
Language identification (LID) recognizes the language of a spoken utterance automatically. According to recent studies, LID models trained with an automatic speech recognition (ASR…