Mastering Wake Word Training Data for Effective Voice Assistants

A set of words that tell a voice assistant about a task are known as ‘wake words’. The simplest examples of the same are ‘Okay Google’, ‘Hey Siri’, and ‘Alexa’. This set of words directly triggers the speech recognition system of a user. This trigger is crucial so that the speech recognition system can just record your commands and not your day-to-day conversations. For example: if you say “Hey Siri, where to get the best wake word training data? ”, you might have heard of Macgence. Macgence has in-house AI experts who’ll help you optimize your voice recognition models. For more information, log on to www.macgence.com. 

In the following blog, we’ll discuss in detail about wake word training data. Keep reading to learn more!

Wake Word Creation Process for a Brand

By hearing the simple word ‘Alexa’, we come to know that it’s something related to Amazon. So it’s clear that wake words are more than just a set of instructions. It plays a crucial role in creating a brand name and image. An overview of the wake word training data and creation process is as follows:

A wake word engine is a technology that is present on the local device and not on the cloud. It has precise phonetics of the words and phrases that it’ll respond to. Wake word engines do not record the incoming audio rather, they just focus on their phonetic properties. 

Once the exact wake word is selected, next comes the process of training the model with optimal wake word training data. This is done through the recordings of several individuals speaking the wake word. For effective training, recordings of people from different geographical locations and age groups are sourced. This also helps the wake word model to respond accurately even if the wake word was pronounced in a noisy environment.

Once the training process is completed, the model gets activated on hearing the wake word so that users can give a command or raise a query. It must be noted that such models should not be introduced in the market before rigorous testing. 

Do Voice Assistants Steal Your Data?

The straight answer is NO, they don’t. Let’s try to understand it. 

Each of your conversations passes through the microphone of your device but doesn’t get recorded, neither on the cloud nor on the local storage. The speech recognition model just keeps listening to the acoustic properties of the incoming sound. Once the acoustic properties match with those of the wake word, it gets activated. It identifies the sound followed by a wake word as a command or a query. 

Sometimes a model may get triggered by some words that are similar to or rhyming with the wake words. With subsequent optimizations and training with quality wake word training data, such issues can be resolved. 

How To Create the Best Wake Word for Your Brand

Having discussed the importance of wake words in creating a brand name and image, let’s understand the science behind crafting the best wake word for your brand. 

1. Keep it Simple: Remember that wake word models are used by people of all age groups. So, no fancy or jaw-breaker words/phrases should be used. The wake words should be easy to pronounce and should not rhyme with common words and phrases else, it’ll be hard for the model to get the correct triggers. Moreover, one should aim to keep it short, not more than 3-4 syllables. 

2. Include Branding: Try including the name of your brand or something related to it. This is crucial for creating a brand identity and users will also develop an emotional connection with the brand. This approach ensures clarity and ease of use for customers while reinforcing brand recognition. By keeping the wake words simple and incorporating the brand, you create a seamless and memorable user experience.

3. Effective Training: Even if your wake word is exceptionally pleasing, it’ll be of no use if wake word training data is not having variety in it. For example audio of people of different age groups, different accents, different gender, varying background noise in the audio, and more. This will ensure that the wake word detection algorithm is capable of recognizing different types of voices and background noise and that the user experience is consistent and reliable. Additionally, training the wake word detection algorithm with data from a variety of sources will ensure that it is optimized for accuracy and performance.

Macgence Can Revolutionize Your Wake Word Data Training!

Just imagine people claiming that a device does not wake up with a particular set of phrases. Such situations would be detrimental to the brand’s image and will lead to customer dissatisfaction. Macgence comes to the rescue here! We provide quality wake word training data sets. We ensure that your voice recognition model has optimal reflexes and provides accurate results to the users. 

Macgence are committed to adhering to all the ethics so that we can deliver quality results to our clients. Macgence is even conformed to ISO-27001, SOC II, GDPR, and HIPAA regulations Ready to elevate your wake word models? Reach out to us today at www.macgence.com! 

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