Section 1 - Instruction

In the previous units, we covered the difference between V2V and traditional voice AI pipelines, as well as the current strengths and weaknesses of voice technology. Now, let's practice applying this knowledge.

This will help you identify the right voice solutions for real-world problems.

Engagement Message

Ready to start?

Section 2 - Practice

Type

Sort Into Boxes

Practice Question

Sort these characteristics into the correct voice AI architecture.

Labels

  • First Box Label: Voice-to-Voice (V2V)
  • Second Box Label: Traditional Pipeline

First Box Items

  • Lower latency
  • Preserves emotion
  • More natural feel

Second Box Items

  • Easier debugging
  • Uses STT/TTS
  • Better for tool use
Section 3 - Practice

Type

Multiple Choice

Practice Question

Why do traditional voice assistants like Siri and Alexa sometimes feel slow to respond in a conversation?

A. They use V2V models which are still experimental. B. They have to process each step (STT, LLM, TTS) sequentially, which adds delay. C. They are designed to be slow to ensure accuracy. D. They do not have enough processing power.

Suggested Answers

  • A
  • B - Correct
  • C
  • D
Section 4 - Practice

Type

Fill In The Blanks

Markdown With Blanks

Fill in the blanks to describe the trade-offs in voice AI.

Voice-to-Voice models are great for fast, [[blank:natural]] conversations, but traditional pipelines are often more reliable for complex tasks that require [[blank:tool use]].

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