voice assistant

**Voice Assistant Development** **Overview** Building for Voice Assistants (Alexa, Google Assistant, Siri) is different from building web apps. It relies on **Voice User Interfaces (VUI)**. **Architecture** 1. **Wake Word**: "Alexa..." (On-device detection). 2. **ASR (Automatic Speech Recognition)**: Converts audio to text ("Play jazz music"). 3. **NLU (Natural Language Understanding)**: Extracts Intent (`PlayMusic`) and Entity (`Genre: Jazz`). 4. **Fulfillment**: Lambda function executes logic (calls Spotify API). 5. **TTS (Text to Speech)**: "Playing Jazz music." **Skills & Actions** - **Alexa Skills Kit (ASK)**: Amazon's SDK. - **Actions on Google**: Google's platform (now converging with Android Intents). **Design Challenges** - **No Visuals**: You can't show a list of 10 items. You must summarize ("Here are the top 3 results..."). - **Discoverability**: How does the user know what they can say? (Critical to provide help prompts). - **Ambiguity**: "Play the rock" (Dwayne Johnson movie or Rock music?). **Current State** LLMs are replacing rigid NLU intents. "Alexa LLM" allows for dynamic, non-scripted conversations, moving away from the rigid command-and-control model.