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Description

The advancement of back-end speech recognition stands out as the most crucial technological breakthrough in the fields of dictation and transcription. Utilizing Fusion Speech®, powered by Nuance’s SpeechMagic™, this innovative technology can be implemented across various medical specialties without the need for physician training or adjustments in existing practice patterns. By using Fusion Voice® for dictation capture and processing it through Fusion Speech, healthcare providers can significantly enhance transcription productivity via Fusion Text®. The integration of these Fusion modules not only streamlines operations but also leads to significant cost reductions in ongoing labor and outsourcing expenses. This represents the ideal speech recognition solution you've been searching for, as other technologies have often delivered superficial features without establishing a sustainable business model. With Fusion Speech, you gain access to the essential tools needed to implement a speech recognition system that generates concrete and measurable returns on your investment, ensuring that your practice thrives in an increasingly digital landscape. Embrace this transformative solution and witness the positive impact it can have on your operational efficiency.

Description

Sensory stands at the forefront of implementing embedded neural network-driven speech recognition, establishing itself as the leading entity in the development and optimization of speech recognition software that operates efficiently with limited resources and low MIPS consumption. Their extensive background and ongoing innovations have culminated in the creation of the first embedded large vocabulary continuous-speech recognizer (LVCSR), which rivals the performance of cloud-based systems. In contrast to typical voice recognition applications found in smartphones and mobile devices—like those powered by voice assistants such as Alexa, Google Assistant, Siri, and Cortana—Sensory’s technology is integrated directly into devices, eliminating the need for a Wi-Fi connection. Many users prefer solutions that do not rely on cloud-based systems for high-quality speech recognition, while others look for a hybrid approach that balances client and cloud capabilities for optimal functionality. As concerns regarding privacy, efficiency, and bandwidth escalate, there is a growing trend toward processing data at the edge, which further enhances Sensory’s relevance in the market. This shift not only improves performance but also addresses user demands for greater control over their data.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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Integrations

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Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dolbey

Founded

1994

Country

United States

Website

www.dolbey.com/solutions/speech-recognition/fusion-speech/

Vendor Details

Company Name

Sensory

Founded

1994

Country

United States

Website

www.sensory.com/natural-language-understanding/

Product Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Product Features

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

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