def test_inference_ctc_robust_batched(self):
model = TFHubertForCTC.from_pretrained(
"facebook/hubert-large-ls960-ft")
processor = Wav2Vec2Processor.from_pretrained(
"facebook/hubert-large-ls960-ft", do_lower_case=True)
input_speech = self._load_datasamples(4)
inputs = processor(input_speech,
return_tensors="tf",
padding=True,
sampling_rate=16000)
input_values = inputs.input_values
attention_mask = inputs.attention_mask
logits = model(input_values, attention_mask=attention_mask).logits
predicted_ids = tf.argmax(logits, axis=-1)
predicted_trans = processor.batch_decode(predicted_ids)
EXPECTED_TRANSCRIPTIONS = [
"a man said to the universe sir i exist",
"sweat covered brion's body trickling into the tight loin cloth that was the only garment he wore",
"the cut on his chest still dripping blood the ache of his overstrained eyes even the soaring arena around"
" him with the thousands of spectators were trivialities not worth thinking about",
"his instant of panic was followed by a small sharp blow high on his chest",
]
self.assertListEqual(predicted_trans, EXPECTED_TRANSCRIPTIONS)
def test_inference_ctc_normal(self):
model = TFHubertForCTC.from_pretrained("facebook/hubert-large-ls960-ft")
processor = Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft", do_lower_case=True)
input_speech = self._load_datasamples(1)
input_values = processor(input_speech, return_tensors="tf", sampling_rate=16000).input_values
logits = model(input_values).logits
predicted_ids = tf.argmax(logits, axis=-1)
predicted_trans = processor.batch_decode(predicted_ids)
EXPECTED_TRANSCRIPTIONS = ["a man said to the universe sir i exist"]
self.assertListEqual(predicted_trans, EXPECTED_TRANSCRIPTIONS)
def test_inference_ctc_normal_batched(self):
model = TFHubertForCTC.from_pretrained("facebook/hubert-large-ls960-ft")
processor = Wav2Vec2Processor.from_pretrained("facebook/hubert-large-ls960-ft", do_lower_case=True)
input_speech = self._load_datasamples(2)
input_values = processor(input_speech, return_tensors="tf", padding=True, sampling_rate=16000).input_values
logits = model(input_values).logits
predicted_ids = tf.argmax(logits, axis=-1)
predicted_trans = processor.batch_decode(predicted_ids)
EXPECTED_TRANSCRIPTIONS = [
"a man said to the universe sir i exist",
"sweat covered brion's body trickling into the tight loin cloth that was the only garment he wore",
]
self.assertListEqual(predicted_trans, EXPECTED_TRANSCRIPTIONS)