SpeechRecognition | A local auto speech recognition project based on Kaldi | Speech library

Both replace statements are being executed, but you are throwing away the result of the first one. You need to call the second replace method on the string from the result of the first replace.

Based on the code you've shared, it has to do with how you're updating the state if the transcript is equal to kitten.

Essentially, the logic you've written says, on render, if the transcript is kitten, update the state. BUT, when you update the state, that will re-render, and hit that logic again... and again... and again. The solution here is to wrap that in a useEffect – React Docs explain it best but in simple terms, you want to "do something" as a side effect of "something else".

In this case, if the transcript updates, you want to check the state of transcript, and if it meets a condition, you want to update your state:

It is because of this line SpeechRecognition(Mic) . The Error states that the default export from your module is not a function which means that SpeechRecognition is not a function so you cannot call it .

change your code as

Although this feature is available in chromium but it has been disabled by Qt as indicated in this report. Maybe in the following versions of Qt6 it will be enabled.

useSpeechRecognition is a React hook, which is a special type of function that only works in specific situations. You can't use hooks inside a class-based component; they only work in function-based components, or in custom hooks. See the rules of hooks for all the limitations.

Since this hook is provided by a 3rd party library, you have a couple of options. One is to rewrite your search bar component to be a function. This may take some time if you're unfamiliar with hooks.

You can also see if the react-speech-recognition library provides any utilities that are intended to work with class-based components.

According to the PyTorch documentation, a common PyTorch convention is to save models using either a .pt or .pth file extension.

To save model checkpoints or multiple components, organize them in a dictionary and use torch.save() to serialize the dictionary. For example,

You are using espresso-intents and looks good but try using putStringArrayListExtra and passing an ArrayList as that is what onActivityResult expects to receive:

In the Speech Recognition Readme on PyPI, you can see there is a PyAudio Section. It means you have to have PyAudio Installed on your machine. But if you have PyAudio intsalled and you get an error, you need to share the error without the try except blocks, so we can analyze the error and give a solution.

To install PyAudio, execute pip install pyaudio in the terminal.

Sometimes pip install pyaudio can throw an error similar to this: