Are HMMs still used for unsupervised tasks? [D]

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用户正在探索隐马尔可夫模型（HMMs）作为一种基线方法，用于处理无标注的非结构化数据，进行“数据集探索/发现”任务。他们希望了解是否有更现代的方法，包括基于深度学习的方法，已经完全取代了HMMs来完成此类任务，以期深入了解数据的结构和语义。

I'm exploring Hidden Markov Models (HMMs) as a baseline method for "dataset exploration/discovery" where I have a bunch of unstructured data with no annotations, and wish to gain insights about the structure and semantics of the data within. I was wondering if there are more modern (deep learning based or otherwise) approaches which have completely superseded HMMs for such tasks.