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044: Speech Recognition and Spoken Language Understanding (SLU)

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Manage episode 434447963 series 3533896
Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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In our second technical dive in the the anatomy of a voice assistant, Kylie hosts Shawn Wen, co-founder and CTO of Poly AI, to analyze the complexities of building voice assistants. He highlights the challenges faced in speech recognition, such as dealing with errors, latency, and user experience. Shawn also discusses the inefficiencies of converting chatbots to voice assistants and the nuances that must be managed, including managing speech recognition models, right-sizing latency, agile dialogue design, and dealing with telephony filters. He emphasizes that optimizing these systems isn't just a technical problem but a multifaceted user experience challenge.

Follow PolyAI on LinkedIn
Watch this and other episodes of the Deep Learning pod on YouTube

  continue reading

70 episodes

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iconShare
 
Manage episode 434447963 series 3533896
Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Send us a text

In our second technical dive in the the anatomy of a voice assistant, Kylie hosts Shawn Wen, co-founder and CTO of Poly AI, to analyze the complexities of building voice assistants. He highlights the challenges faced in speech recognition, such as dealing with errors, latency, and user experience. Shawn also discusses the inefficiencies of converting chatbots to voice assistants and the nuances that must be managed, including managing speech recognition models, right-sizing latency, agile dialogue design, and dealing with telephony filters. He emphasizes that optimizing these systems isn't just a technical problem but a multifaceted user experience challenge.

Follow PolyAI on LinkedIn
Watch this and other episodes of the Deep Learning pod on YouTube

  continue reading

70 episodes

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