17.6 azspeech transcribe pipelines
20210607 We can pipe the output from transcribe to other tools, so to, for example, analyse the sentiment of the spoken word. In the first instance you might say happy days and in the second say sad days.
$ ml transcribe azspeech | ml sentiment aztext 0.96 $ ml transcribe azspeech | ml sentiment aztext 0.07
Pipelines can become quite powerful. Indeed, a pipeline can exhibit AI that might appear to be more than just the sum of its parts. Here, it transcribes the audio from the microphone, which for me would be English, translates it to French, cuts the actual text, and synthesizes it in a French voice.
$ ml transcribe azspeech | ml translate aztranslate --to=fr | cut -d',' -f4- | ml synthesize azspeech --voice=fr-FR-DeniseNeural
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