As you can see, the model inferred the text and also outputted when the various sentences were pronounced.
There are many parameters available for each task, so check out each task's API reference to see what you can tinker with!
For instance, the [~transformers.AutomaticSpeechRecognitionPipeline] has a chunk_length_s parameter which is helpful 
for working on really long audio files (for example, subtitling entire movies or hour-long videos) that a model typically 
cannot handle on its own:
thon