down grade ASR

app.py

@@ -68,11 +68,12 @@ examples = [
     [w, w_, i, x, y] for w, w_, i, x, y in zip(ref_wavs, ref_wavs, refs_ids, refs_txt, refs_ppm)
 ]
 
-p = pipeline(
-    "automatic-speech-recognition",
-    model="KevinGeng/whipser_medium_en_PAL300_step25",
-    device=0,
-)
+# p = pipeline(
+#     "automatic-speech-recognition",
+#     model="KevinGeng/whipser_medium_en_PAL300_step25",
+#     device=0,
+# )
+p = pipeline("automatic-speech-recogntion", model="facebook/wav2vec2-base-960h")
 
 # WER part
 transformation = jiwer.Compose(