A Review of Deep Learning Techniques for Speech Processing

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understanding. Typically, SLU tasks involve identifying the domain or topic of a spoken utterance,
determining the speaker’s intent or goal in making the utterance, and filling in any relevant slots
or variables associated with that intent. For example, consider the spoken utterance, "What is the
weather like in San Francisco today?" An SLU system would need to identify the domain (weather),
the intent (obtaining current weather information), and the specific slot to be filled (location-San
Francisco) to generate an appropriate response. By improving SLU capabilities, we can enable more
effective communication between humans and machines, making interactions more natural and
efficient.
AReviewofDeepLearningTechniquesforSpeechProcessing