Most companies only plan for English. Turns out user generated content, customer support calls, and even training videos come in a variety of languages.
Austin, TX (PRWEB) September 17, 2015
Clarify, Inc is proud to announce wholly automated language identification via API. Previously, customers had to manually specify what language was spoken in each file processed. With the release of Clarify’s language detection, this requirement is eliminated because the platform automatically detects the primary language used in the media.
Clarify’s language identification is based on machine learning models trained since launch. Data collected and tagged during day-to-day processing was used to train a language detection subsystem using advanced machine learning technologies.
“We have no way of knowing what language our customers speak when we record their phone calls. This feature will allow us to serve a much broader range of customers with far greater accuracy," said Lyle Pratt, CEO BetterVoice.
Paul Murphy, Clarify’s CEO said: “Most companies only plan for English. Turns out user generated content, customer support calls, and even training videos come in a variety of languages. Now we can automatically detect dozens of languages and use that information to make smart, automatic decisions. Some of our customers really needed this feature, and we’re thrilled to be delivering it today.”
The Clarify platform allows any company to build mobile and web applications that search and understand any piece of audio or video with just a few lines of code. The platform ingests media files, analyzes their content to choose the best algorithms to extracts the spoken words and analyze them.. Developers can then use the powerful API to search, discover, and understand who said what when.
Clarify Inc. is headquartered in Austin, TX and is backed by Projector Ventures, Silverton Partners, Rothenberg Ventures, Crosslink Capital, Social Starts, and a strong group of Angel investors throughout the US. Clarify is an alumnus of TechStars, the Fintech Innovation Lab, and the BBC Media Lab.