speech | speech engine training projects

Let us go through your code, specifically this block

Based on the provided target data structure above, you appear to be using a dictionary. It isn't clear what you would like your keys to be so I would probably suggest using a list/array.

I would suggest a slightly different way to dissect the problem.One potential implementation would be to iterate over each row (paragraph

of the table (div

From here, if the link(s) are present you could then query the external data source (or read from a different location on the page) to collect the respective data. In the example below, I choose to do this in a different iteration of data to help make the code a bit more readable.

I have not used the BeautifulSoap4 library before. I apologise if my solution isn't the most elegant regarding the libraries usage.

I am not aware how you do it - but this works fine

It uses Web Speech Api's SpeechRecognition (refer)->https://developer.mozilla.org/en-US/docs/Web/API/SpeechRecognition

Also please understand its cross browser compatibility(works in chrome) - no support for firefox i believe -> please try and verify

It has a grammar list of colors when said the data is input into the input type text field (you might have another list or may be not have it at all)

example is from the link mentioned above

Most likely it's a caching issue, you can resolve like this:

I believe the issue here is that the ComfyJS.onChat/synthesizeSpeech() function is getting called multiple times on different threads, or at least multiple times without waiting for the previous speakTextAsync call to finish speaking.

I would experiment with making "var synthesizer = new SpeechSDK.SpeechSynthesizer(speechConfig)" globally scoped variable, so that you are using a single synthesizer to speak all the incoming messages, rather than a new synthesizer for each message. using a single tts engine should cause them to queue up and render in order.

Alternatively you could wait for speakTextAsync() to finish before allowing another synthesizer and message to be created and queued, but I think it would be more efficient to use a single synthesizer instance for the entire chat/conversation.

Brian.

As @KonradRudolph has noted before, the links are inserted dynamically into the webpage. Therefore, I have produced a code using RSelenium and rvest to tackle this issue:

Here's an approach where I convert the speaker identity to a number and use that to vertically offset it from the minute.

I'm very sorry about this - I don't have RStudio installed (new laptop), so I can't provide a code solution right now.

But one general approach to this is:

• Take your end times, which is a list of values.
• Generate a list of full-minute mark values, using seq, starting from 60000 all the way to your max end time. seq(60000, 195000, 60000)
• Merge the 2 lists, then identify unique values, then sort the list.
• This is your list of end times. Your list of start times is straightforwardly generated by just adding 0 to the start of this list and chopping off the last value.
• Now you'll have the list of times, and need to get the appropriate speakers.
• You can use ifelse logic to reassign the speakers based on whether they're in between a certain start/end time in your original dataframe. For example, if start is between 35000 and 65000 speaker is NA.
• And you're done.

Your question is more about Python and Pandas than Telegram and Telethon, as far as I can understand.