首页|New Findings in Intelligent Systems Described from Xiangtan University (Sla-former: Conformer Using Shifted Linear Attention for Audio-visual Speech Recognition )
New Findings in Intelligent Systems Described from Xiangtan University (Sla-former: Conformer Using Shifted Linear Attention for Audio-visual Speech Recognition )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news originating fro m Hunan, People’s Republic of China, by NewsRx correspondents, research stated, “Conformer-based models have proven highly effective in Audio-visual Speech Reco gnition, integrating auditory and visual inputs to significantly enhance speech recognition accuracy. However, the widely utilized softmax attention mechanism w ithin conformer models encounters scalability issues, with its spatial and tempo ral complexity escalating quadratically with sequence length.”
HunanPeople’s Republic of ChinaAsiaIntelligent SystemsMachine LearningXiangtan University