Amazon's Alexa Uses Machine Learning For Regional Language
Daniel Johnson — June 26, 2019 — Tech
References: developer.amazon & techcrunch
Amazon's Alexa voice assistant continues to be used not only in a number of different languages but also across a number of regional language variants. In order to tackle regional language differences, Amazon's Alexa has been retrained for different variants that are required. Additionally, a novel machine learning system will be used to train Alexa on speech recognition, this could help reduce the maintenance needed on the system.
In order to make the changes, the Alexa team had to create an ability to slightly change the Alexa learning algorithm to a locale-specific model. The team then combined the locale-specific model with the independent location model that was previously in use. A number of improvements were found after doing this, including an increased accuracy of 18%, 43%, 115%, and 57% for four different variants of English.
Image Credit: Amazon/ TechCrunch
In order to make the changes, the Alexa team had to create an ability to slightly change the Alexa learning algorithm to a locale-specific model. The team then combined the locale-specific model with the independent location model that was previously in use. A number of improvements were found after doing this, including an increased accuracy of 18%, 43%, 115%, and 57% for four different variants of English.
Image Credit: Amazon/ TechCrunch
Trend Themes
1. Regional Language Variants - Opportunity for voice assistants to expand their capabilities by incorporating regional language variants, allowing for greater accessibility and user engagement.
2. Machine Learning for Speech Recognition - The use of machine learning in training voice assistants like Alexa on speech recognition presents an opportunity to enhance accuracy and reduce maintenance requirements.
3. Locale-specific Learning Algorithms - Developing the ability to adapt voice assistant learning algorithms to specific locales opens up possibilities for tailored user experiences and increased accuracy.
Industry Implications
1. Artificial Intelligence - Incorporating regional language variants and machine learning for speech recognition in voice assistants like Alexa has the potential to disrupt the AI industry by improving accessibility and accuracy.
2. Language Technology - The advancements in training voice assistants on regional language variants using machine learning have the potential to revolutionize the language technology industry by enabling better communication and understanding across different languages.
3. User Experience - The use of locale-specific learning algorithms in voice assistants can disrupt the user experience industry by providing personalized and accurate interactions tailored to specific locales and regional language variants.
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