Resources
Our insights, expertise and best practices gathered for you. The best place to browse several resources if you are not yet familiar with Voice AI.
We share with you the best content to discover, adopt and learn how to develop with voice technologies for your business.
Natural Language Understanding: What You Need to Know Before Diving in
Natural Language Understanding (NLU) is a subfield of Natural Language Processing (NLP). If the latter aims to make human-machine communications as “natural” as possible, the focus of NLU is on making machines understand the human language. If you have already used...
Natural Language Understanding: What You Need to Know Before Diving in
Natural Language Understanding (NLU) is a subfield of Natural Language Processing (NLP). If the latter aims to make human-machine communications as...
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Vivoka partners with Inria to revolutionise speech recognition
Multispeech, a joint Inria - Loria research team, and Vivoka (a Metz-based start-up specialising in the design of voice solutions) are joining forces to revolutionise embedded voice interfaces, in other words, voice assistants without an Internet connection. Through...
Build a custom voice command in 5 easy steps
You wish to fully customize your own ASR model? You want it to be able to understand words that even yourself have difficulties ton get? Stay with us, today we are going to learn how to create a custom voice command with the Grammar Editor plugin which is...
Offline ASR: Which solutions are available today?
Introducing Offline ASR Technologies Voice Assistants like Siri, Alexa, Google Assistant, all aim to help the customer to talk to computers as naturally as possible through offline ASR (Automated Speech Recognition) and Natural Language Processing/Understanding...
How to build your own Speech Emotion Recognition?
Note: This post about Speech Emotion Recognition covers only the basics of practical implementation of DNN for an emotion classification problem. In order to dive deeper, contact Vivoka. Motivation behind Speech Emotion Recognition Have you ever called a...
The best practices of voice technology integration
Where do you stand regarding voice technology? Connected speakers, VoiceBot or voice assistants are becoming more and more present into the economic landscape, becoming almost tried and tested products. Voice has many advantages for both the individual and the...
How can companies mix data privacy and voice AI?
Did you know that voice privacy is an unavoidable outcome of our digital world? It represents the right of individuals to have control over how companies collect and use their personal information through speech-enabled interfaces. Indeed, our expected journey toward...
How to design a good Voice User Experience (VUX) ?
With the advent of speech recognition and its democratisation with voice assistants, new uses have emerged. These new habits are partly driven by the advantages of this new human-machine interface (HMI). They have profoundly rethought the way people design products...
Speech to Emotion: Bringing you a little closer to machines?
When approaching the field of human-machine interaction (HMI), especially with personal assistants, it is important to take into account a more "relational" dimension. The various speech recognition technologies, among many other innovations, are constantly improving...
What is a wake word and how to brand yours?
"Ok Google, why does your wake-up word work so well?" is a question we could ask directly to the voice assistant of this digital giant. However, it would be very difficult to obtain the answer from an artificial intelligence because of the complexity of this...
Speech Recognition: How it works and what it is made of
Speech recognition is a proven technology. Indeed, voice interfaces and voice assistants are now more powerful than ever and are developing in many fields. This exponential and continuous growth is leading to a diversification of speech recognition applications and...