Avoid extra chunk in speech recognition

src/transformers/pipelines/automatic_speech_recognition.py

@@ -67,8 +67,7 @@ def chunk_iter(inputs, feature_extractor, chunk_len, stride_left, stride_right,
         if dtype is not None:
             processed = processed.to(dtype=dtype)
         _stride_left = 0 if chunk_start_idx == 0 else stride_left
-        # all right strides must be full, otherwise it is the last item
-        is_last = chunk_end_idx > inputs_len if stride_right > 0 else chunk_end_idx >= inputs_len
+        is_last = chunk_end_idx >= inputs_len
         _stride_right = 0 if is_last else stride_right
 
         chunk_len = chunk.shape[0]

tests/pipelines/test_pipelines_automatic_speech_recognition.py

@@ -1438,10 +1438,10 @@ def test_chunk_iterator_stride(self):
             "input_values"
         ]
         outs = list(chunk_iter(inputs, feature_extractor, 100, 20, 10))
-        self.assertEqual(len(outs), 2)
-        self.assertEqual([o["stride"] for o in outs], [(100, 0, 10), (30, 20, 0)])
-        self.assertEqual([o["input_values"].shape for o in outs], [(1, 100), (1, 30)])
-        self.assertEqual([o["is_last"] for o in outs], [False, True])
+        self.assertEqual(len(outs), 1)
+        self.assertEqual([o["stride"] for o in outs], [(100, 0, 0)])
+        self.assertEqual([o["input_values"].shape for o in outs], [(1, 100)])
+        self.assertEqual([o["is_last"] for o in outs], [True])
 
         outs = list(chunk_iter(inputs, feature_extractor, 80, 20, 10))
         self.assertEqual(len(outs), 2)