add resample

gradio_asr_en_libri100.py

@@ -13,7 +13,7 @@ import os
 from glob import glob
 from loguru import logger
 import soundfile as sf
-# import librosa
+import librosa
 # from scipy.io import wavfile
 import gradio as gr
 
@@ -53,8 +53,8 @@ logger.info('model loaded')
 
 def predict(wav_file):
     logger.info('wav file loaded')
-    speech, rate = sf.read(wav_file)
-    # speech, rate = librosa.load(wav_file, sr=16000)
+    # speech, rate = sf.read(wav_file)
+    speech, rate = librosa.load(wav_file, sr=16000)
     # rate, speech = wavfile.read(wav_file)
     nbests = model(speech)
     text, *_ = nbests[0]

requirements.txt

@@ -2,4 +2,5 @@ espnet==0.10.6
 espnet_model_zoo==0.1.7
 gradio==2.7.5.2
 loguru==0.6.0
+librosa
 soundfile