Nuix Partners with Voci on Transcription and Voice Analytics
Global technology company Nuix and voice analytics provider Voci Technologies have forged a partnership in which Nuix will license and distribute Voci's V-Discovery speech analytics platform. The two companies will integrate Voci's V-Discovery engine with the Nuix Engine and Nuix's products for e-discovery, investigation, information governance, cybersecurity, and intelligence.
"Organizations and individuals are recording massive quantities of audio and video, and it's impossible for investigators to listen to even a fraction of it," said Nuix Chief Technology Officer Stephen Stewart in a statemen. "They're accumulating audio for surveillance and compliance, voicemail, interviews, and on a huge range of devices, including smartphones and police body cameras. Combining Nuix's and Voci's world-class technologies means customers can now search and analyze all this human speech alongside communication patterns, emails, text messages, documents, chats, and many other sources."
Voci's V-Discovery system uses advanced machine-learning technology to convert electronically recorded audio data to text. It is the result of 10 years of research and development in conjunction with Carnegie Mellon University. A single Voci appliance can process more than 100 hours of audio in one hour, providing fully-punctuated transcripts of recorded or live audio sources in English or Spanish.
"We are thrilled to partner with Nuix to meet the e-discovery needs of commercial, legal, government, law enforcement, and national security organizations," said Voci CEO Anthony Gadient in a statement. "Nuix can now use V-Discovery to offer its clients a powerful capability to transform audio into highly accurate, ingestible text as well as valuable gender and emotion information, all of which will complement Nuix's renowned capacity to process many other kinds of digital evidence."
The partnership allows organizations to do the following:
- Perform a full-spectrum analysis that includes speech content as well as acoustic measurements of participant gender, emotion, and conversation times;
- Convert voice mail, recorded phone calls, interviews, video files, and other audio sources to text; and
- Analyze human speech in real time or in batches while listening for specific phrases and automatically indexing audio files based on keyword occurrence.
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