Speech to Text Insights
The conversation delves into the complexities of speech-to-text technology and its application in creating a product called automemo. While initially envisioning a direct model from speech to intent, the reality of human speech's unpredictability posed significant challenges. The current solution enhances user experience by summarizing calls, allowing experts to focus on meaningful interactions rather than tedious note-taking.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Engineering Production NLP Systems at T-Mobile - 600
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