Want to suggest a wake word? Leave your thoughts here. (AIS-1441)

[feizi]

Hi all,

We're excited to offer the community more free and high-quality wake word models. Everyone has their own unique wake word preferences. Now, we're ready to regularly release some of the most popular wake words. Please let us know the wake words you want! English and Chinese are both welcome.

In the past, it was an expensive process to collect high-quality human speech data. But now, our team has developed a cost-effective way to train wake word models by using only TTS samples, which reaches 90-95% accuracy compared to models trained by human-recorded samples.

The wake word models and esp-sr have the same license and are free for commercial use. If you want a more accurate and exclusive wake word, please use our wake word customization service.

Currently, we support over 20 wake words. You can choose any one wake word to test. Starting from August 1, 2024, to get a new wake word, you'll need to meet one of these requirements:

• If you've got an ongoing project, kindly attach the project link along with a brief overview when submitting your request.
• Your wake word has been liked or upvoted by more than five people.

We have released Wake Word Training by TTS V2.0, which improves the TTS model and pipeline. Now it can reach 95-98% accuracy compared to models trained by human samples.

Note: Please carefully read the Wake Word Submission Agreement. All submissions are deemed to have agreed to this agreement by default.

The product names, logos, and brands associated with the wake words listed in this software are the property of their respective owners. They are shown here solely to provide examples of wake words for users to understand and test Espressif’s Speech Recognition Framework, and do not imply any affiliation with or endorsement by their owners. This software is not affiliated with, endorsed by, or in any way officially connected to any trademark owner. Before any commercial use, you must ensure that you are the lawful rights holder of the relevant wake words or have obtained proper authorization from the lawful rights holder.

At the same time, everyone is reminded to register and protect the trademark of your own wake word.

[kristiankielhofner]

The Willow team and community would love "Hey Willow". It's our domain name because we've been waiting for this.

Thank you very much for offering this option, it's very exciting!

[feizi]

The Willow team and community would love "Hey Willow". It's our domain name because we've been waiting for this.

Thank you very much for offering this option, it's very exciting!

I'm glad you like this. Since "hey" and "hi" sound pretty similar, sometimes people might not really notice the difference. So, I was thinking, maybe we could support both "hey willow" and "hi willow" for waking up the device. That way, whether you say "hey willow" or "hi willow", it'll still work. Of course, when we release the wake word model, we'll call it like "wn9_heywillow". What do you think about that?

[kristiankielhofner]

Good idea!

My only concern would be overall reduced accuracy (wake reliability vs false wake). We've noticed quite a bit of false wake with Alexa. From what I've read the automated TTS approach has 90-95% the accuracy of the models trained on human samples. I like "two word" wake words because they tend to improve accuracy, I suspect a 100% "Hey Willow" wake word could result in equivalent or even improved accuracy with the TTS approach vs even human sample trained Alexa?

Of course we could always test this, even starting with a pure "Hey Willow" model, a pure "Hi Willow" model, and a merged model.

Thanks again for offering this!

[feizi]

Your concern may indeed happen. We will generate two words and test which model performs better.

[feizi]

"hey/hi willow" model:
Model name: wn9_heywillow_tts
FAR(False Alarm Rate): 1 times / 8 hours
RAR(Right Alarm Rate): 88%

Test dataset description:
The FAR dataset: This dataset contains a total of 64 hours of audio data, which includes audio collected from the internet and audio recorded using esp32-korvo boards.
The RAR dataset: This dataset is generated by multiple commercial TTS APIs, with a total of approximately 500 samples. These data and models were not used in the training process. However, due to the differences between TTS samples and human samples, please exercise caution when referring to the test results.

[AigizK]

Guys, what you are doing is really great. We have created a smart speaker called Homai based on the esp32-s3. We trained the model ourselves, but it is resource-intensive and not so easy to integrate into the pipeline. Could you please add support for our word Homai [ho'mai]? Thank you in advance!

[sun-xiangyu]

Hi @AigizK ,
The syllable of Homai only has two. It is difficult to reduce the probability of false triggering for monosyllabic and disyllabic phrases. We recommend selecting a 3-5 syllable phrase as the wake word.

[AigizK]

Hi @sun-xiangyu
We have already launched a project with this name, so we can't change it significantly. But can we use the variant "homa ai", where the sound 'A' is pronounced long?

[sun-xiangyu]

We have already launched a project with this name, so we can't change it significantly. But can we use the variant "homa ai", where the sound 'A' is pronounced long?

I'm sorry that our TTS model cannot specify a syllable to extend its pronunciation at the moment. This means that we cannot generate a large number of accurate “homa ai” phrases.

[PrathamG]

Hi! Thank you for this awesome solution! We are developing a smart voice assistant called Sophia. Would it be possible to have the wake word "Hi Sophia"? This would help our user experience drastically. Thank you in advance!

[sun-xiangyu]

Hi @PrathamG , I'm glad you like it. "Sophia" sounds like a wake word that can be used directly. I mean, maybe we don't need an extra prefix "Hi". I suggest we start with just "Sophia". If the performance is not satisfactory, then we can train another one with "hi Sophia". What do you think?