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What is Sensory Wake Word?

Sensory's Wake Word technology represents a state-of-the-art solution for embedded voice-trigger applications, allowing for efficient and low-energy detection of "hotwords" in voice interfaces that are always active. This innovative system comes with pre-defined wake words, ensuring swift deployment while delivering reliable performance even in loud and difficult settings. It is designed with a small resource requirement, needing only about 30-40KB of code on digital signal processors, and operates continuously and privately without dependence on cloud infrastructure. The technology is built to effectively reject background noise, making it suitable for deployment on multiple platforms, including Windows, Linux, Android, macOS, and real-time operating systems. It supports a variety of processing architectures, such as ARM Cortex-M, Cirrus ADSP2, CEVA Teaklite, and Tensilica Hifi. With a rich history spanning over three decades in embedded voice AI and having distributed billions of devices to prominent customers like Amazon, Apple, Google, BMW, Microsoft, and Samsung, this technology exemplifies its proven reliability and performance. Additionally, developers benefit from the ability to quickly design and test personalized wake word models in just a few hours via Sensory's intuitive VoiceHub self-service portal, allowing for the enhancement of their projects with custom voice recognition features, which is crucial in the rapidly evolving tech landscape. Ultimately, this combination of versatility and user-friendliness positions Sensory's Wake Word technology as a leading choice for developers seeking robust voice interaction solutions.

What is Decibri?

Decibri is a Rust-based audio library designed for developers who are creating applications centered on real-time speech, voice agents, and audio processing. It provides essential features, including microphone input, speaker output, PCM streaming, and audio file management, complemented by a command-line interface compatible with Python, Node.js, Rust, and browser APIs. Among its extensive capabilities are voice activity detection, acoustic echo cancellation, and optional enhancements like denoising, filtering, automatic gain control, and limiting. Developers can seamlessly stream captured audio to both cloud and local speech-to-text services, while simultaneously utilizing its audio output systems to playback synthesized speech. This library caters to a wide range of applications, such as building voice assistants, transcription services, conversational agents, wake-word detection systems, interactive robotics, full-duplex speech systems, and audio processing pipelines, making it suitable for use in edge devices as well. It comes with prebuilt native packages that support Windows, macOS, and Linux, and the implementations for Python and Node.js are especially user-friendly as they require no additional build tools for installation. Furthermore, the browser-compatible version enhances accessibility by allowing audio capture, energy-based speech detection, and playback, thereby broadening its usability across a variety of platforms. With its robust feature set and adaptability, Decibri stands out as a significant asset for audio application development, empowering creators to innovate within this dynamic field.

Media

No images available

Media

Integrations Supported

Integrations Supported

Amazon Transcribe
AssemblyAI
Azure AI Speech
Deepgram
Google Cloud Speech-to-Text
OpenAI Realtime API
Voxtral

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

$0
The core audio library is free under Apache-2.0. Fees for cloud speech-service providers are separate.
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Sensory, Inc.

Date Founded

1994

Company Location

United States

Company Website

sensory.com

Company Facts

Organization Name

Decibri

Date Founded

2008

Company Location

Australia

Company Website

decibri.com

Categories and Features

Speech Recognition

Not specified

Categories and Features

AI Infrastructure

Not specified

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