Suggested Answer:
Descriptive, to answer the question: What's happening? Note: Azure Media Indexer enables you to make content of your media files searchable and to generate a full-text transcript for closed captioning and keywords. You can process one media file or multiple media files in a batch. Reference: https://demand-planning.com/2020/01/20/the-differences-between-descriptive-diagnostic-predictive-cognitive-analytics/ https://azure.microsoft.com/en-us/blog/answering-whats-happening-whys-happening-and-what-will-happen-with-iot-analytics/ https://docs.microsoft.com/en-us/azure/media-services/previous/media-services-index-content
Yes - it's Cognitive. Closed captioning is speech-to-text, which is in Azure Cognitive Services Speech Service. And the tool mentioned in the explanation on the web page has been retired (according to MS Docs)
Cognitive analytics: Involves using AI and machine learning to process unstructured data, such as audio, images, or text, and extract meaningful insights. Creating closed caption text for audio files involves speech-to-text processing, which falls under the category of cognitive analytics.
Creating closed caption text for audio files is an example of cognitive analytics. This involves the use of AI and machine learning technologies to simulate human processes such as understanding language and recognizing speech.
FWIW, from ChatGPT:
Creating closed caption text for audio files is an example of cognitive analytics. Cognitive analytics involves using machine learning and natural language processing (NLP) technologies to automate the processing of large amounts of data, including audio and text data, to derive insights and improve decision-making. In this case, it’s used to transcribe spoken words into written text. This type of analytics is particularly useful in applications like speech recognition, sentiment analysis, and language translation.
Bing (with precision mode) gives the following:
Creating closed caption text for audio files is an example of cognitive analytics. Cognitive analytics involves applying intelligent algorithms to interpret unstructured data like text, speech, or images. In this case, it’s interpreting audio data and converting it into text.
I think we are not talking about the cognitive transcription process, but what happen next, as you create the caption for accessibility and indexing. You don't need to understand the audio file, you need to make it searchable. Can the user directly fill the closed caption by himself, without using any speech-to-text ?
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