If we are 100% sure that our users will always use either of these two utterances in exactly this format, we can use a very simple regular expression as our natural language understanding algorithm.īut most often this is not the case. In this case, the entity would be the same – "show_products" but the entity would be "jeans". Naturally, the user might also say something like "Show jeans". If the user says something like "Show t-shirts", the user intent is probably something like "show_products" and it has an entity "t-shirt". While this might sound complicated, let's give a simple example to clarify it. It reduces natural language into structured data that typically consists of intents and entities (slots) that modify these intents.
Natural language understanding is a branch of machine learning that enables computer systems to extract meaning from text or speech input. What is natural language understanding and why do I need that? In the video, a standard, non-biased Speechly model is running simultanously with the Google Webspeech API test and both are transcribing Steve Jobs' keynote speech in the first iPhone launch event. Even without biasing, our speech recognition accuracy is on par with Google's WebSpeech API, as you can see in the video below.
#Web speech api google chrome professional
Speechly benefits from the fact that it's always configured for a certain use case and this configuration is used to bias the speech recognition model.īiasing helps Speechly correctly catch product names, professional lingo and other harder words. One important aspect when comparing voice APIs is of course the speech recognition accuracy. This makes Speechly the best WebSpeech API alternative for voice user interfaces. In addition to wide browser support, Speechly is available for touch screen platforms (Android, iOS and React Native) which makes building cross-platform applications very simple. Our Spoken Language Understanding API integrates speech recognition (ASR) and natural language understanding (NLU) to a single Spoken Language Understanding API for low latency and improved accuracy. Speechly is the first developer tool built from the ground up for building voice user interfaces. While in some use cases that only need the transcription it's not an issue, for more complicated user tasks and for building user interfaces natural language understanding needs to be solved somehow. They don't provide any context or meaning (natural language understanding) for this input. Second, Web Speech API and SpeechRecognition API provides only the transcription of the user's speech. SpeechRecognition API is also available for Firefox and some derivates of these, but the low support makes them unfeasible for production use in any real-life application. The most used tool for voice user interfaces on the browser is the Web Speech API and SpeechRecognition API, but there are major limitations with both technologies.įirst, Web Speech API is only available for Chrome.
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