Sensory Wake Word

Sensory Wake Word

Sensory, Inc.
word2vec

word2vec

Google
+
+

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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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.

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

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Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

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features 0.0 / 5
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support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Sensory, Inc.
Founded: 1994
United States
sensory.com

Company Information

Google
Founded: 1998
United States
code.google.com/archive/p/word2vec/

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
TrulyNatural

TrulyNatural

Sensory
GloVe

GloVe

Stanford NLP
Symbl

Symbl

Symbl.ai
LexVec

LexVec

Alexandre Salle

Categories

Categories

Integrations

Gensim

Integrations

Gensim
Claim Sensory Wake Word and update features and information
Claim Sensory Wake Word and update features and information
Claim word2vec and update features and information
Claim word2vec and update features and information