Add missing audio file and test

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

tests/test_asr_pipeline.py

@@ -0,0 +1,59 @@
+from pathlib import Path
+
+import pytest
+
+from docling.datamodel import asr_model_specs
+from docling.datamodel.base_models import ConversionStatus, InputFormat
+from docling.datamodel.document import ConversionResult
+from docling.datamodel.pipeline_options import AsrPipelineOptions
+from docling.document_converter import AudioFormatOption, DocumentConverter
+from docling.pipeline.asr_pipeline import AsrPipeline
+
+
+@pytest.fixture
+def test_audio_path():
+    return Path("./tests/data/audio/sample_10s.mp3")
+
+
+def get_asr_converter():
+    """Create a DocumentConverter configured for ASR with whisper_turbo model."""
+    pipeline_options = AsrPipelineOptions()
+    pipeline_options.asr_options = asr_model_specs.WHISPER_TINY
+
+    converter = DocumentConverter(
+        format_options={
+            InputFormat.AUDIO: AudioFormatOption(
+                pipeline_cls=AsrPipeline,
+                pipeline_options=pipeline_options,
+            )
+        }
+    )
+    return converter
+
+
+def test_asr_pipeline_conversion(test_audio_path):
+    """Test ASR pipeline conversion using whisper_turbo model on sample_10s.mp3."""
+    # Check if the test audio file exists
+    assert test_audio_path.exists(), f"Test audio file not found: {test_audio_path}"
+
+    converter = get_asr_converter()
+
+    # Convert the audio file
+    doc_result: ConversionResult = converter.convert(test_audio_path)
+
+    # Verify conversion was successful
+    assert doc_result.status == ConversionStatus.SUCCESS, (
+        f"Conversion failed with status: {doc_result.status}"
+    )
+
+    # Verify we have a document
+    assert doc_result.document is not None, "No document was created"
+
+    # Verify we have text content (transcribed audio)
+    texts = doc_result.document.texts
+    assert len(texts) > 0, "No text content found in transcribed audio"
+
+    # Print transcribed text for verification (optional, for debugging)
+    print(f"Transcribed text from {test_audio_path.name}:")
+    for i, text_item in enumerate(texts):
+        print(f"  {i + 1}: {text_item.text}")