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On Wednesday, audio startup crisp says it is launching a new feature that uses AI to change the user’s pronunciation during the calls. The company is initially expressing support to change Indian English pronunciation in English.
Startup says that the accent conversion process saves the speaker’s voice and switches phonmes simply to match American accents. The feature is obviously tested in the enterprise environment and a beta version is now coming to the crisp desktop application. Users can turn the feature at any time or before the calls of the calls.
Co-founder of the company, Arto Minesayan, said the idea was derived from the problem that was faced in his conversation for the feature. “I am speaking the best in English although many do not understand my accent.
However, when this reporter examined the feature, the processed voice does not sound natural and does not even miss some words at times. The company has identified these errors as a beta release that the model will improve over time.
Crisp claims that when it examines the feature with enterprises, the sales conversion rate has increased by 26.1% and the income per book has increased by 14.8%.

The company has said that people in the country have decided to work on Indian pronunciation first for a large part of the worldwide activist forces in the case of stem. There are plans to add support for more accents including Philipino.
Like other startups GV-Backed Sunas Similar technology has been set up on a call center on a scale.
The company says it has trained the model in thousands of lectures samples that cover various accents and dialects and after the user’s consent, his meeting uses data from the assistant.
Minasayan said that another advantage of the feature is that it does not require any pre-training in the user’s voice because it creates a profile for the speaker at real time.
Crisp, which ends The capital raised in 2021This year IOS and Android applications are planned to be published to support personal meetings. There is also a new Chrome extension for better integration with Google Meat in the work.