Methods of Voice Searching
– Click on the voice command icon
– Call out the name of the virtual assistant
– Click on the home button or gesture on interface
Activation of Virtual Assistants
– Apple: Hey, Siri
– Google: OK, Google
– Amazon: Hey, Alexa
– Microsoft: Hey, Cortana
– Samsung: Hi, Bixby
Supported Languages for Voice Search
– Language is essential for accurate results
– Voice search should support natural spoken language
– Different search terms in voice compared to typed search
– Users want a voice assistant that understands and speaks to them
– Covers across languages, dialects, and accents
How Voice Search Works
– Includes automatic speech recognition (ASR) for input
– Can include natural language understanding for search queries
– May use text-to-speech (TTS) or display for output
– Detection of spoken language and keywords
– Results displayed on screen or spoken back to the searcher
Related Technologies and Concepts
– Z39.50
– Search/Retrieve Web Service
– Search/Retrieve via URL
– OpenSearch
– Representational State Transfer
– Wide area information server
– Search engine
– Desktop search
– Online search
Voice search, also called voice-enabled search, allows the user to use a voice command to search the Internet, a website, or an app.
In a broader definition, voice search includes open-domain keyword query on any information on the Internet, for example in Google Voice Search, Cortana, Siri and Amazon Echo.
Voice search is often interactive, involving several rounds of interaction that allows a system to ask for clarification. Voice search is a type of dialog system.
Voice search is not a replacement for typed search. Rather the search terms, experience and use cases can differ heavily depending on the input type.