KWS Meaning and
Definition
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KWS is an acronym that stands for "Key Word Spotting." It refers to a technology or method used in various applications, including speech recognition systems and natural language processing. Key Word Spotting involves the detection and identification of particular words or phrases within a larger body of text or spoken content.
In the context of speech recognition, KWS focuses on recognizing and extracting specific keywords from spoken language. This technology enables the system to highlight or extract important phrases, commands, or specific words that have been pre-defined or are relevant to the application's purpose. KWS algorithms and models are trained to identify and classify keywords accurately and efficiently.
KWS is often employed in voice assistants, voice-activated devices, digital transcription services, and other applications where specific keywords or phrases need to be detected and used for further analysis or action. For instance, in a voice-activated device, KWS helps to identify and activate the device by recognizing specific wake-up words like "Hey Siri" or "OK Google."
By focusing on specific keywords instead of transcribing the entire content, KWS allows for faster and more efficient processing of audio or text data. It reduces computational resource requirements and enables real-time applications, making it a valuable tool in various fields such as customer service, virtual assistants, transcription services, and more.
Common Misspellings for KWS
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