scale value fix (#1006)

@@ -80,7 +80,7 @@ def get_features(test_wav_filename):
         samples = librosa.resample(samples, orig_sr=sample_rate, target_sr=16000)
         sample_rate = 16000
 
-    samples *= 372768
+    samples *= 32768
 
     opts = knf.MfccOptions()
     # See https://github.com/Tele-AI/TeleSpeech-ASR/blob/master/mfcc_hires.conf

@@ -112,7 +112,7 @@ def get_features(test_wav_filename):
         audio = torchaudio.functional.resample(
             audio, orig_freq=sample_rate, new_freq=16000
         )
-    audio *= 372768
+    audio *= 32768
 
     opts = knf.FbankOptions()
     opts.frame_opts.dither = 0

@@ -52,7 +52,7 @@ def get_features(test_wav_filename):
         audio = torchaudio.functional.resample(
             audio, orig_freq=sample_rate, new_freq=16000
         )
-    audio *= 372768
+    audio *= 32768
 
     opts = knf.FbankOptions()
     opts.frame_opts.dither = 0