Add resampling

app.py

@@ -8,6 +8,7 @@ from transformers.models.wav2vec2.modeling_wav2vec2 import Wav2Vec2Model
 from transformers.models.wav2vec2.modeling_wav2vec2 import Wav2Vec2PreTrainedModel
 
 import audiofile
+import audresample
 
 
 model_name = "audeering/wav2vec2-large-robust-24-ft-age-gender"
@@ -109,7 +110,9 @@ def recognize(file):
             "before submitting your request."
         )
     signal, sampling_rate = audiofile.read(file, duration=duration)
-    age_gender = process_func(signal, sampling_rate)
+    target_rate = 16000
+    signal = audresample.resample(signal, sampling_rate, target_rate)
+    age_gender = process_func(signal, target_rate)
     age = f"{round(age_gender['age'])} years"
     gender = {k: v for k, v in age_gender.items() if k != "age"}
     return age, gender

requirements.txt

@@ -1,3 +1,4 @@
 audiofile
+audresample
 torch
 transformers