keyword spotting


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keyword spotting

[′kē‚wərd ‚spät·iŋ]
(engineering acoustics)
An approach to task-oriented speech understanding through detecting a limited number of keywords that would most likely express the intent of a speaker, rather than attempting to recognize every word in an utterance.
References in periodicals archive ?
As a result, we were able to build an autonomous version of the game by extending classic, example-based keyword spotting to handle overlapping speech and historical context.
CSpotter is a voice recognition engine that supports low-power always listening with keyword spotting.
Echo uses on-device keyword spotting to detect the wake word.
Fortemedia has completed production of its iM401D low power, keyword spotting voice trigger and control IC.
With an extremely noise robust and accurate solution that responds quickly and at ultra-low power consumption, the TrulyHandsfree[TM] trigger technology has become the most widely adopted keyword spotting technology in the speech industry.
We're not doing keyword spotting, because we're looking at every word said, including the acoustics of how it was said, the underlying sentiment," he continues.
Joe was sure to point out how the company's offering features recording, UC; real-time speech analytics; quality management; multichannel communications including voice, web chat and social media; routing; and real-time speech analytics with keyword spotting.
Sensory's TrulyHandsfree trigger technology has quickly become the most widely adopted keyword spotting technology in the speech industry.
The company says traditional keyword spotting solutions fail to truly understand the rich meaning and conceptual patterns within user-generated content.
0 can be enhanced with features like customer feedback, keyword spotting, transcription and speech mining to provide a detailed and automated analysis of recorded calls.
Besides keyword spotting, it can locate the issues being discussed, the customer's emotional state, and meta data about the call.
It can be enhanced with such features as customer feedback, keyword spotting, transcription and speech mining to provide a detailed and automated analysis of recorded calls.