Paul

Follow a voice agent from speech recognition to language switching, tool calls and spoken replies, then examine what breaks with slow systems, mixed languages and domain vocabulary.

• Which languages—and which accents—should the agent speak?
  0:22 ↗
• Text to Bark: generated sound is not translation
  5:08 ↗
• Speech, text, intelligence, speech
  8:26 ↗
• A transcript can carry timing, speakers and events
  10:51 ↗
• Forward a voice message, get readable text
  12:39 ↗
• Choose the intelligence layer and the speaking voice
  17:05 ↗
• Configure a conference agent
  20:31 ↗
• Switch languages without restarting the conversation
  23:38 ↗
• Language recognition selects a configured voice
  28:49 ↗
• Give the agent appointment-setting tools
  30:58 ↗
• Balance response time, session cost and task complexity
  33:01 ↗
• Keep the caller informed while tools run
  39:06 ↗
• A mixed-language question exposes a recognition boundary
  43:56 ↗
• Voice generation needs misuse controls
  49:00 ↗
• Test the languages people actually mix
  52:00 ↗
• Generated voice is only one part of an avatar
  55:06 ↗
• Pronouncing SAP and recognizing Joule are different problems
  57:49 ↗