asr_architecture.jpg This image displays a flowchart diagram illustrating a system architecture, likely for speech recognition or natural language processing. The chart is organized into two main vertical columns that eventually merge in the center. The boxes are color-coded: light green for inputs, light purple/lavender for processing steps, and light grey/white for predictions and final outputs. On the left side, a vertical sequence begins at the top with a light green box labeled "Spoken Query." A black arrow points downward to a light purple box labeled "Signal Processing (ADC, VAD, Denoise)." From there, an arrow leads down to another light purple box reading "Acoustical Feature Extraction." The flow continues downward via an arrow to a third light purple box labeled "Acoustical Model." Finally, an arrow points from this model to a light grey box at the bottom of this column labeled "Acoustical Predictions." On the right side, there is a parallel vertical sequence. It begins at the top with a light green box labeled "Text Corpus." An arrow points down to a light purple box containing the text "LIGN 165/167." Below that, an arrow leads to another light purple box labeled "Language Model." From this model, an arrow points down to a light grey box labeled "Language Model Predictions." In the center of the diagram, the two columns converge. An arrow extends from the right side of the "Acoustical Predictions" box and meets with an arrow extending from the left side of the "Language Model Predictions" box. Both arrows point into a central light purple box labeled "Hypothesis Search." From this central "Hypothesis Search" box, a solid black arrow points downward to the final element at the bottom center: a light grey box labeled "Output Text." Additionally, there is a dashed curved line indicating a feedback loop or connection. This line originates near the right side of the "Hypothesis Search" box and curves upward to point into the left side of the "Language Model" box on the right column. This description was generated automatically. Please feel free to ask questions if you have further questions about the nature of the image or its meaning within the presentation.