Sensory Wake WordSensory, Inc.
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word2vecGoogle
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About
Sensory Wake Word is an embedded voice-trigger technology that delivers accurate, low-power "hotword" detection for always-on voice interfaces. Pre-built wake words enable fast deployment with consistent accuracy across noisy real-world environments. Key capabilities include an ultra-low resource footprint (as little as 30-40KB code size on DSP), always-on and always-private operation with no cloud dependency, robust noise rejection, and platform-independent deployment across Windows, Linux, Android, macOS, and RTOS. Runs on a wide range of cores including ARM Cortex-M, Cirrus ADSP2, CEVA Teaklite, and Tensilica Hifi. Backed by over 30 years in embedded voice AI and billions of devices shipped worldwide with customers like Amazon, Apple, Google, BMW, Microsoft, and Samsung. Developers can build and test custom wake word models in hours using Sensory's VoiceHub self-service portal.
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About
Word2Vec is a neural network-based technique for learning word embeddings, developed by researchers at Google. It transforms words into continuous vector representations in a multi-dimensional space, capturing semantic relationships based on context. Word2Vec uses two main architectures: Skip-gram, which predicts surrounding words given a target word, and Continuous Bag-of-Words (CBOW), which predicts a target word based on surrounding words. By training on large text corpora, Word2Vec generates word embeddings where similar words are positioned closely, enabling tasks like semantic similarity, analogy solving, and text clustering. The model was influential in advancing NLP by introducing efficient training techniques such as hierarchical softmax and negative sampling. Though newer embedding models like BERT and Transformer-based methods have surpassed it in complexity and performance, Word2Vec remains a foundational method in natural language processing and machine learning research.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Device manufacturers, OEMs, and embedded/IoT developers building voice-enabled products across automotive, home electronics, TVs, mobile, wearables/hearables, medical devices, Bluetooth accessories, tablets & PCs, and retail/enterprise hardware who need on-device, privacy-first wake word detection without cloud dependency.
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Audience
Researchers, data scientists, and developers working in natural language processing (NLP) and machine learning who need efficient word embeddings for text analysis and semantic understanding
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and VideosNo images available
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Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Open source
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationSensory, Inc.
Founded: 1994
United States
sensory.com
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Company InformationGoogle
Founded: 1998
United States
code.google.com/archive/p/word2vec/
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Integrations
Gensim
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