SoundHound may be best known for its music recognition app, but its new voice-enabled assistant app -- dubbed Hound -- takes on broader roles and is designed to be able to rival the likes of Siri and Google Now.
What makes this particular assistant app stand out among the crowd is that it is claimed to be able to comprehend and respond to more complicated queries. For example, you could ask the app what time the sun is going to set three years from now in London and it will give you the answer. It can also competently handle follow-up questions.
Ultimately, Hound's complex workings mean it could be used in a variety of contexts ranging from cars and smartphones to wearable gadgets and other connected technologies that could benefit from smoother human-machine interaction.
Responsive Assistant Apps
The Hound App Responds To Complicated Vocal Queries
Trend Themes
1. Advanced Assistant Apps - Emerging advanced assistant apps like Hound are creating disruptive opportunities in virtual assistance with more elaborate and complex query responses.
2. Voice Recognition Technology - Voice recognition technology is becoming more advanced with advanced assistant apps like Hound, leading to disruptive innovation in areas such as smartphones, wearable technology and cars.
3. Smart Virtual Assistants - More smart virtual assistants are leveraging advancements in machine learning and artificial intelligence to enable complex query responses, leading to disruptive innovation in the digital assistant industry.
Industry Implications
1. Automotive - The automotive industry can benefit from integrated virtual assistants like Hound to enhance human-machine interaction and provide a more sophisticated in-car experience.
2. Consumer Electronics - Consumer electronics firms can leverage advanced virtual assistants technology like Hound to facilitate smoother human-machine interaction and offer more elaborate query responses.
3. Wearable Technology - The wearable technology industry can benefit from advanced virtual assistants like Hound, creating new disruptive opportunities for more sophisticated and natural human-machine interaction.