The Alexa Whisper Mode Helps the AI Understand Unvoiced Speech
Justin Lam — September 28, 2018 — Tech
References: venturebeat & digitaltrends
Home assistant speakers often require users to hit a certain audible threshold but the new Alexa whisper mode will allow the device to listen for softer speech and respond accordingly. Developed as part of Amazon's push for Alexa to utilize more natural and intuitive language, this new mode allows the device to adhere to more conversational cues. The update also falls in line with Amazon's commitment to the Alexa AI as it continues to make consistent improvements to the AI and device.
The technology used in the new Alexa whisper mode will be explained at an upcoming IEEE Workshop on Spoken Language and is entitled 'LSTM-based Whisper Detection.' While not all the information behind the tech has been given, Amazon has explained that it is quite unique as whispered speech is difficult to interpret and to have a machine respond in.
Image Credit: Shutterstock / Zapp2Photo
The technology used in the new Alexa whisper mode will be explained at an upcoming IEEE Workshop on Spoken Language and is entitled 'LSTM-based Whisper Detection.' While not all the information behind the tech has been given, Amazon has explained that it is quite unique as whispered speech is difficult to interpret and to have a machine respond in.
Image Credit: Shutterstock / Zapp2Photo
Trend Themes
1. AI Whisper Recognition - Developing AI that can recognize whispering speech patterns could improve voice recognition technology in homes and businesses.
2. Conversational Device Interfaces - Developing conversational AI for devices like home assistants and smart speakers allows for more intuitive and natural interactions with technology.
3. Improvements in Natural Language Processing - Continuing advancements in natural language processing improves the functionality and usefulness of AI assistants like Alexa.
Industry Implications
1. Consumer Electronics - Consumer electronics companies can take advantage of AI whisper recognition to create more user-friendly and intuitive home assistant devices.
2. Business Communications - As conversational interfaces improve, businesses can integrate natural language processing into their communication systems to streamline interactions with customers and employees.
3. Artificial Intelligence - Advancing natural language processing and conversational AI technology can lead to further innovations in artificial intelligence and machine learning.
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