What is Wynyard Voice Frequency Analytics?

There are various forms of unstructured data, such as call logs, recorded conversations, and unclear audio. To successfully extract pertinent details and identify speakers, a powerful analytical tool is needed. Wynyard Voice Frequency Analytics (VFA) is designed to fulfill this role, allowing users to recognize individuals behind anonymous voices and convert unclear speech into understandable text. This online application proves to be essential for law enforcement and government entities focused on preventing criminal acts. Wynyard VFA functions on a straightforward concept of matching suspected voices to a detailed database to determine their identities. By employing advanced technology, the application guarantees a high level of accuracy in its findings. Additionally, it can extract specific keywords or phrases from discussions, further increasing its value across various scenarios. This feature not only assists in criminal investigations but also extends its benefits to the wider fields of data analysis and voice recognition, demonstrating its versatility and significance. With its diverse applications, Wynyard VFA is a critical tool in the modern fight against crime.

Integrations

No integrations listed.

Screenshots and Video

Wynyard Voice Frequency Analytics Screenshot 1

Company Facts

Company Name:
Wynyard Group
Company Location:
China
Company Website:
www.wynyardgroup.com/wynyard-voice-frequency-analytics/

Product Details

Deployment
SaaS
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Wynyard Voice Frequency Analytics Categories and Features

Speech Recognition Software

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