spoken | JavaScript Text-to-Speech and Speech-to-Text for AI | Speech library
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kandi X-RAY | spoken Summary
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QUESTION
I have sentences from spoken conversation and would like to identify the words that are repeated fom sentence to sentence; here's some illustartive data (in reproducible format below)
...ANSWER
Answered 2021-Jun-14 at 16:37Depending on whether it is sufficient to identify repeated words, or also their repeat frequencies, you might want to modify the function, but here is one approach using the dplyr::lead function:
QUESTION
I am using speechRecognition and I would like to replace some spoken words to emoji's.
This is my code:
...ANSWER
Answered 2021-Jun-08 at 19:40Both 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.
QUESTION
I am trying to manipulate the images shown in my React App by voice. I implemented the SR, which works fine:
...ANSWER
Answered 2021-Jun-06 at 23:23Based 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:
QUESTION
@commands.command(name='8ball', description='Let the 8 Ball Predict!\n')
async def _8ball(self, ctx, question):
responses = ['As I see it, yes.',
'Yes.',
'Positive',
'From my point of view, yes',
'Convinced.',
'Most Likley.',
'Chances High',
'No.',
'Negative.',
'Not Convinced.',
'Perhaps.',
'Not Sure',
'Mayby',
'I cannot predict now.',
'Im to lazy to predict.',
'I am tired. *proceeds with sleeping*']
response = random.choice(responses)
embed=discord.Embed(title="The Magic 8 Ball has Spoken!")
embed.add_field(name='Question: ', value=f'{question}', inline=True)
embed.add_field(name='Answer: ', value=f'{response}', inline=False)
await ctx.send(embed=embed)
ANSWER
Answered 2021-Jan-18 at 12:19I see it needs to indented properly like below. Try this, if not then post your full code we can see whats happening.
QUESTION
I am using microsoft-cognitiveservices-speech-sdk in react for text to speech. I want to run a specific function when the text is finished being spoken. However I am unable to find a way to detect the end of the speech using the sdk. I just need a way to detect when the audio is finishd playing by the sdk so I can run my function
...ANSWER
Answered 2021-May-30 at 09:43The SDK has a onAudioEnd event, see this sample.
Also, remember to close the synthesizer, see this question for details.
QUESTION
I need to download the first paragraph of every article in every major widely spoken language wikipedia is available. Preferably, in plain text with no formatting.
I found this URL:
Unfortunately, I had to know the title of every article. So, I figured I could use pageid instead:
Start with pageids=0 and increment until pageids=INT_MAX.
For a different widely spoken language like German I can simply change the domain to de:
The final URL is:
https://%LLD%.wikipedia.org/w/api.php?action=query&format=json&pageids=%PAGE_ID%&prop=extracts&exintro&explaintext
Where
LLD = Low level domain of the country
PAGE_ID = Integer
I can't make sense of data dumps and this is the simplest way I found to do the job. Since, I really don't want to get my IP banned after say 10,000 articles, how frequent should I crawl for a different PAGE_ID?
I need a metric so it can be as performant as possible.
MAJOR EDIT
There is no hard and fast limit on read requests, but we ask that you be considerate and try not to take a site down. Most sysadmins reserve the right to unceremoniously block you if you do endanger the stability of their site.
If you make your requests in series rather than in parallel (i.e. wait for the one request to finish before sending a new request, such that you're never making more than one request at the same time), then you should definitely be fine. Also try to combine things into one request where you can (e.g. use multiple titles in a titles parameter instead of making a new request for each title
API FAQ states you can retrieve 50 pages per API request.
For crawling a total of 70,000,000 pageids in series of 50 pageids once every X amount of time it will take:
(70,000,00 / 50) * 200ms = 3 days
(70,000,00 / 50) * 500ms = 8 days
(70,000,00 / 50) * 1sec = 16 days
Will I definitely be fine even if choose once every 200ms?
...ANSWER
Answered 2021-May-27 at 12:23I wouldn't use the URL itself, but rather the Open Graph Tags in the Header of each page. Wikipedia has tags for og:title, og:image, and og:type. If you need assistance with Open Graph Protocol refer to https://ogp.me/. As for your IP ban I wouldn't really worry too much. Wikipedia is used by millions of people and unless you are using bots to do malicious activity the likely hood of getting banned is slim.
QUESTION
NOTE: An update/new question on this begins at =====================
Original post: I am working with utterances, statements spoken by children. From each utterance, if one or more words in the statement match a predefined list of multiple 'core' words (probably 300 words), then I want to input '1' into 'Core' (and if none, then input '0' into 'Core').
If there are one or more words in the statement that are NOT core words, then I want to input '1' into 'Fringe' (and if there are only core words and nothing extra, then input '0' into 'Fringe').
Basically, right now I have only the utterances and from those, I need to identify if any words match one of the core and if there are any extra words, identify those as fringe. Here is a snippet of my data.
...ANSWER
Answered 2021-May-15 at 18:01A little trick to do this is to replace (gsub()) all core words in the utterances with an empty string "". Then check if the length of the string (nchar()) is still bigger than zero. If is bigger than zero it means that there are non-core words in the utterance. By applying trimws() to the strings after replacing the core words we make sure that no unwanted whitespaces remain that would be counted as characters.
This is the code by itself.
QUESTION
I have never used apc_store() before, and I'm also not sure about whether to free query results or not. So I have these questions...
In a MySQL Query Cache article here, it says "The MySQL query cache is a global one shared among the sessions. It caches the select query along with the result set, which enables the identical selects to execute faster as the data fetches from the in memory."
Does using free_result() after a select query negate the caching spoken of above?
Also, if I want to set variables and arrays obtained from the select query for use across pages, should I save the variables in memory via apc_store() for example? (I know that can save arrays too.) And if I do that, does it matter if I free the result of the query? Right now, I am setting these variables and arrays in an included file on most pages, since they are used often. This doesn't seem very efficient, which is why I'm looking for an alternative.
Thanks for any help/advice on the most efficient way to do the above.
...ANSWER
Answered 2021-May-21 at 16:47MySQL's "Query cache" is internal to MySQL. You still have to perform the SELECT; the result may come back faster if the QC is enabled and usable in the situation.
I don't think the QC is what you are looking for.
The QC is going away in newer versions. Do not plan to use it.
In PHP, consider $_SESSION. I don't know whether it is better than apc_store for your use.
Note also, anything that is directly available in PHP constrains you to a single webserver. (This is fine for small to medium apps, but is not viable for very active apps.)
For scaling, consider storing a small key in a cookie, then looking up that key in a table in the database. This provides for storing arbitrary amounts of data in the database with only a few milliseconds of overhead. The "key" might be something as simple as a "user id" or "session number" or "cart number", etc.
QUESTION
I wanted to get the adjacent record as a column on the select query of the Postgresql
here is my schema.
...ANSWER
Answered 2021-May-22 at 12:01You want lead() and lag():
QUESTION
I've been trying to do this for some days, I guess it's time to ask for a little help.
I'm using elasticsearch 6.6 (I believe it could be upgraded if needed) and nest for c# net5.
The task is to create an index where the documents are the result of a speech-to-text recognition, where all the recognized words have a timestamp (so that that said timestamp can be used to find where the word is spoken in the original file). There are 1000+ texts from media files, and every file is 4 hours long (that means usually 5000~15000 words).
Main idea was to split every text in 3 sec long segments, creating a document with the words in that time segment, and index it so that it can be searched.
I thought that it would not work that well, so next idea was to create a document for every window of 10~12 words scanning the document and jumping by 2 words at time, so that the search could at least match a decent phrase, and have highlighting of the hits too.
Since it's yet far from perfect, I thought it would be nice to index every whole text as a document so to maintain its coherency, the problem is the timestamp associated with every word. To keep this relationship I tried to use nested objects in the document:
ANSWER
Answered 2021-May-20 at 20:12This could be interpreted in a few ways i guess, having something like an "alternative stream" for a field, or metadata for every word, and so on. What i needed was this: https://github.com/elastic/elasticsearch/issues/5736 but it's not yet done, so for now i think i'll go with the annotated_text plugin or the 10 words window.
I have no idea if in the case of indexing single words there can be a query that 'restores' the integrity of the original text (which means 1. grouping them by an id 2. ordering them) so that elasticsearch can give the desired results.
I'll keep searching in the docs if there's something interesting, or if i can hack something to get what i need (like require_field_match or intervals query).
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