In this paper, the accumulated Kullback divergence (AKD) is used to analyze ASR performance deterioration due to the presence of background noise.
In this paper, the accumulated Kullback divergence (AKD) is used to analyze ASR performance deterioration due to the presence of background noise.
ABSTRACT. In this paper, the accumulated Kullback divergence (AKD) is used to analyze ASR performance deterioration due to the presence of background noise.
This study investigated university students' understanding of SDGs through their reflections on a literary work. A mixed-methods research design was employed, ...
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Aug 18, 2024 · In this paper, the accumulated Kullback divergence (AKD) is used to analyze ASR performance deterioration due to the presence of background ...
Analytical Assessment of Dual-Stream Merging for Noise-Robust ASR. ... Accumulated kullback divergence for analysis of ASR performance in the presence of noise.
“Accumulated Kullback Divergence for Analysis of ASR. Performance in the Presence of Noise”. Proc. ICASSP,. CD-ROM, 2003, Hong-Kong. [4] Strik, H., Russel, A ...
Article discusses the application of Kullback-Leibler divergence to the recognition of speech signals and suggests three algorithms implementing this divergence ...
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“Accumulated Kullback Divergence for Analysis of ASR. Performance in the Presence of Noise”. Proc. ICASSP,. CD-ROM, 2003, Hong-Kong. [4] Strik, H., Russel, A ...