update

main.py

@@ -130,7 +130,7 @@ def main():
                     uploaded_vad_engine = gr.Dropdown(choices=["nx_vad", "silero_vad"], value="nx_vad", label="vad_engine")
                     uploaded_silence_time = gr.Slider(minimum=0.0, maximum=1.0, value=0.3, step=0.01, label="silence_time")
                     uploaded_longest_activate = gr.Slider(minimum=0.0, maximum=20.0, value=3.0, step=0.1, label="longest_activate")
-                    uploaded_speech_pad_time = gr.Slider(minimum=0.0, maximum=20.0, value=3.0, step=0.1, label="speech_pad_time")
+                    uploaded_speech_pad_time = gr.Slider(minimum=0.00, maximum=0.50, value=0.03, step=0.01, label="speech_pad_time")
                     uploaded_threshold = gr.Slider(minimum=0.0, maximum=1.0, value=0.5, step=0.1, label="threshold")
                 upload_button = gr.Button("Run VAD", variant="primary")
 

silero_vad/main.go

@@ -24,11 +24,16 @@ func main() {
     var speechPadTime float32 = float32(*speechPadTimePtr)
     var sampleRate int = int(*sampleRatePtr)
     var threshold float32 = float32(*thresholdPtr)
-	fmt.Println(filename)
 
     var silenceTimeMs int = int(silenceTime * 1e3)
     var speechPadTimeMs int = int(speechPadTime * 1e3)
 
+	fmt.Println(filename)
+    fmt.Printf("silenceTimeMs: %d\n", silenceTimeMs)
+    fmt.Printf("speechPadTimeMs: %d\n", speechPadTimeMs)
+    fmt.Printf("sampleRate: %d\n", sampleRate)
+    fmt.Printf("threshold: %0.2f\n", threshold)
+
 	sd, err := speech.NewDetector(speech.DetectorConfig{
 		ModelPath:            modelPath,
 		SampleRate:           sampleRate,