Convosense

Speech is not a solved problem. All applications will have some errors. Key: design the system so some aspects are easy. Click the product names below to see how each of them solves the speech recognition problem. Many of the biggest problems facing humanity today, like curing diseases or addressing climate change, would be vastly easier to solve w... ith the help of AI. At Convosense we believe that we can channel this revolutionary technology to radically improve human communications and collaboration. By making human discourse fully machine readable we can open a vast landscape of business, education and consumer opportunities. Conversational Speech Recognition Is Not A Solved Problem. Starting from a base of $249 million in 2015, global speech and voice biometrics revenue will reach $5.1 billion by 2024, with cumulative revenue for the 10-year period totaling $19 billion at a compound annual growth rate (CAGR) of 40%. Enterprise growth markets are expected to include call centers, government IT, enterprise IT, and healthcare. Solving The Problem Through Deep Learning Ai. The Tipping Point Facilitated by Deep Learning. Speech Recognition (Google Now): 30% reduction in Word Error Rate for English. Biggest single improvement in 20 years of speech research. How To Reduce The Error Rate To Ca. 20%? Three broad areas for improvements: Captures how various language sounds appear in audio. Collect data & train a specialized model for meeting speech. People speak/project differently in meetings. This is not well represented in current models which are trained primarily from telephone or broadcast speech. Adapt dedicated models per speaker. If participants have dedicated devices, we can use separate acoustic models for each speaker to capture the specifics of their audio channel and speaking styles. Captures frequency information about various words and phrases. Incorporate presentation materials and transcripts from previous meetings into language models. Collect data & train a specialized model for meeting speech. ...Read More