In 2013, he sold his startup Alohar Mobile to Alibaba. At Google Maps, he was responsible for the blue dot as the tech lead of location services. Liang is a well-known Silicon Valley tech figure. “We had to do pretty sophisticated supervised learning, and we had to get a lot of labeled data, with hundreds of thousands of hours of recordings.” That’s what makes Otter different from traditional voice products, which only handle short queries or commands from a single speaker.ĪISense technology had to be enhanced to handle all of the complicated interactions of people and nuances of conversations, and it can get tripped up by accents in people’s speech, said Liang. Human-to-human interactions are much more difficult to capture than human-to-machine interactions such as simple commands between people and Amazon’s Alexa, Apple’s Siri or Google Assistant, according to AISense co-founder and CEO Sam Liang. The app provides better than 90 percent accuracy in text dictation, according to the company. Otter allows you to scroll text, clearly labeled coming from multiple people, and gives the option to listen, as well. Two years in the making, AISense’s proprietary Ambient Voice Intelligence technology allows people to store, search, share and analyze voice conversations. Otter is available now for free on iOS, Android and the web.įounded in 2016, the startup has focused on speech recognition technologies for long-form conversations among multiple speakers, as well as on a language processing area known as speaker diarization, which enables machines to differentiate voices. Silicon Valley-based AISense has launched Otter, a GPU-powered app that records speech and quickly returns voice files and transcriptions noted from multiple people. Alexa, play assistants have a long way to go still, but that’s not slowing an AI-based speech recognition startup’s ambitions to be the de facto meeting notes assistant, capturing voice-to-text interactions.
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