Adding timestamps for CTC with LM in ASR pipeline. (#15863)

* Adding timestamps for CTC with LM in ASR pipeline.

* iRemove print.

* Nit change.

tests/pipelines/test_pipelines_automatic_speech_recognition.py

@@ -188,6 +188,32 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase, metaclass=Pipel
             },
         )
 
+        speech_recognizer.type = "ctc_with_lm"
+        # Simple test with CTC with LM, chunking + timestamps
+        output = speech_recognizer(filename, chunk_length_s=2.0, return_timestamps="word")
+        self.assertEqual(
+            output,
+            {
+                "text": "y en las ramas medio sumergidas revoloteaban algunos pájaros de quimérico y legendario plumajcri",
+                "chunks": [
+                    {"text": "y", "timestamp": (0.52, 0.54)},
+                    {"text": "en", "timestamp": (0.6, 0.68)},
+                    {"text": "las", "timestamp": (0.74, 0.84)},
+                    {"text": "ramas", "timestamp": (0.94, 1.24)},
+                    {"text": "medio", "timestamp": (1.32, 1.52)},
+                    {"text": "sumergidas", "timestamp": (1.56, 2.22)},
+                    {"text": "revoloteaban", "timestamp": (2.36, 3.0)},
+                    {"text": "algunos", "timestamp": (3.06, 3.38)},
+                    {"text": "pájaros", "timestamp": (3.46, 3.86)},
+                    {"text": "de", "timestamp": (3.92, 4.0)},
+                    {"text": "quimérico", "timestamp": (4.08, 4.6)},
+                    {"text": "y", "timestamp": (4.66, 4.68)},
+                    {"text": "legendario", "timestamp": (4.74, 5.26)},
+                    {"text": "plumajcri", "timestamp": (5.34, 5.74)},
+                ],
+            },
+        )
+
     @require_tf
     def test_small_model_tf(self):
         self.skipTest("Tensorflow not supported yet.")