Have you ever wondered how voice assistants like Siri, Alexa, and Google Assistant manage to comprehend what we're saying, even with different accents or languages? We know it’s amazing to see how these bots are sometimes even able to figure out our mumbling voice when we talk to them in the morning before our coffee, right?
These AI-powered voicebots use some pretty cool technology behind the scenes to understand our natural language as we speak it. In today’s blog, we’ll break that down and help you understand how actually do voice bots understand various languages and accents.
What we’ll be covering:
Voice bots mainly rely on two key components that enable them to grasp languages and accents:
1. Automatic Speech Recognition (ASR): This is what transcribes your speech into text by analyzing the acoustic properties of your voice. ASR uses deep learning models to match speech sounds to words, accounting for variations in pronunciation, pitch, speed, and more. Sounds pretty neat right?
2. Natural Language Understanding (NLU): Next up NLU, helps voice bots extract meaning from text by applying techniques like classification, named entity recognition, and sentiment analysis. It allows bots to decode the structure and context of phrases to truly comprehend them.
With ASR and NLU working together, voice bots can understand diverse languages and accents with remarkable accuracy. But how exactly do they master different pronunciations and dialects?
Voice bots are trained on massive amounts of speech data containing various accents in order to learn the quirks of different pronunciations. The more examples they're exposed to, the better they get at recognizing those variations.
They also rely on NLU to make sense of dialects by considering regional idioms, slang, and sentence structures. This contextual understanding helps voice bots grasp meanings even when the pronunciation varies.
With the right speech data and smart NLU, voice bots can understand different English accents like British, American, and Australian, as well as Indian and French accents. Some voice bots are even multilingual, which means they’re able to converse fluently in multiple languages like English, Hindi, German, Punjabi, and more. VoiceGenie for example enables businesses in more than 100 languages with their customers.
Now that we know how voice bots handle languages and accents, let's talk about why this matters for businesses like yours aiming to deliver standout customer experiences.
As voice technology keeps advancing, it will open up even more possibilities for exceptionally intuitive customer experiences. And we seriously think there are interesting times ahead in voice AI technology.
Here's the key takeaway - today's voice bots use powerful AI to understand natural language, even with different accents and languages. This allows them to deliver personalized, frictionless experiences that customers love.
Now, do you want your customers to have a voice experience that intrigues them and is powered by all the revolutionizing tech we talked about above? Then you’re in luck. VoiceGenie uses generative AI to create intelligent voice bots that sound incredibly human. Built on Ori's state-of-the-art technology, Voice bots powered by VoiceGenie converse naturally in over 100 languages and dialects to provide exceptional CX.
Book a risk-free demo with VoiceGenie today to explore how our multilingual bots can help you better serve your global customer base.