Using Python Speech Recognition, is it possible to:
Parse an audio file and locate the exact point\time(s) within the file that a specific word is being spoken.
Add new words (not recognized in existing languages) to the dictionary, so it would be possible to search for these words in the file.
If not, which other technologies might work?
Thanks
Related
I'm aware that there are python and powershell methods to convert plain text files, csv's etc.... into json format for upload into NoSQL DBs such as CouchDB.
But according to the CouchDB definitive guide, it makes it seems like there is a native built in way of doing this kind of conversion, without the need for a 3rd party tool.
This older thread appears to hint at this:
Filter and update functions in CouchDB?
This part in particular:
There are other design document functions that are being introduced at the >time of this writing, including _update and _filter that we aren’t covering in >depth here. Filter functions are covered in Chapter 20, Change Notifications. >Imagine a web service that POSTs an XML blob at a URL of your choosing when >particular events occur. PayPal’s instant payment notification is one of >these. With an _update handler, you can POST these directly in CouchDB and it >can parse the XML into a JSON document and save it. The same goes for CSV, >multi-part form, or any other format.
But when I dig deeper I don't find anything concrete.
The supporting wiki link is not clear to me (a beginner with json/NoSQL/curl stuff: http://wiki.apache.org/couchdb/Document_Update_Handlers
Hopefully this is a simple yes/no. And any links to help on this that is better than the above link also appreciated, thank you!
CouchDB supports transforming the internal documents/views into many other formats through the use of show and list functions. It's not a "native" transformation, as you define the transformation yourself, it's not magical.
That being said, there is not a similar mechanism for the reverse (ie: converting some arbitrary format into JSON documents) but you're much better off scripting that with a full-featured language/script and using the bulk docs API to do your imports in batch.
I am building a tool which can read an ocr file. I am using idolondemand (idolondemand.com), but I found that not much promising. That is not reading file properly (ex. spell mistakes, special chars).
I can move to any other languages, basically now this problem for me is become language independent, I can go for any language.
I need help in building one.
So I've been looking at a way to import GTFS data into an SQLdb for my application. I found a solution available on GitHub.
But, this is written using python. I don't think I can use this directly in my windows application. Please correct me if I am wrong here.
But I have no issues with understanding the logic behind the solution and creating my own 'parser'.
So, I opened the GTFS data file "calendar dates.txt" on Notepad and found its content confusing. It was like:
service_id,date,exception_type1,20151012,11,20151111,12,20150822,12,20150829,12.....
You can see that its confusing when there are no line breaks.
But I paste the code here to show it to you guys, and it automatically formats to:
service_id,date,exception_type
1,20151012,1
1,20151111,1
2,20150822,1
2,20150829,1
2
Now it clearly makes sense!! (There are spaces in between for parsing)..
But I don't understand. Is Notepad showing it wrong? How do I see the data "properly" then, in order to write my own parser?
Most likely your GTFS data is written with UNIX end-of-line characters (linefeed only) as opposed to MS-DOS/Windows characters (carriage return followed by linefeed). This is permitted by the GTFS spec, which says:
Each line must end with a CRLF or LF linebreak character.
Most application software available for Windows, including Notepad, recognizes only Windows end-of-line characters and opening a file created on UNIX will show the entire contents as a single line, as you've observed. However, tools like Notepad++ that are meant for developers, as well as most programming libraries (such as those meant to parse CSV files), are usually smart enough to recognize both formats and handle them appropriately.
Wikipedia has more information about end-of-line representations across operating systems if you're interested.
Finally, I'll mention that I've recently posted to Github my own GTFS-to-SQLite loading tool, which is written in C and uses libcsv to parse GTFS data. If you're developing in a language lower-level than Python you may find it useful as an example.
First of all copy your related GTFS(routes,shaps etc) and than paste in an online text editor(for example: http://www.editpad.org/)
And than copy from this online text editor and paste again to your original .txt.
I need help on this...
Especially since I don't know where to start..
I am an IT undergraduate and, along with my groupmates, is now undergoing on-the-job training in a company.
SCENARIO:
The company asked us to create a program that will generate a report and store it in a database.
The database that will be used is MySQL.
As for what language to use, we are considering VB.Net, Java, PHP.
The program must be able to :
generate a report that will be sent through email to an office
store in a database
collect all reports, collate those reports
generate a new report which will then be sent to their main office
then store it in their own databse...
For now,
we are still trying to determine how the program will run and what language will be used that has the capability of reading and extracting data from a text file (can either be a word document or a PDF file).
The company also wants the program to be online-ready for future expansion.
Now, our problem is
Is there a way to extract data from a PDF or Word file using either Java, PHP, VB then store it in the MySQL DB?
if there is, can it be implemented without using any 3rd party software?
the reason why we chose to use either a PDF or Word file type is that, the file should be printable for archive purposes.
What programming language can we easily use to be able to achieve our problem above?
I would like to apologize if the info I am giving is a bit messed up. I will be giving additional information once we are able to talk wth the company this week.
If there is a problem with the way I posted this, please forgive me. I am just trying my best to provide you with the information the best I could.
I'll answer for Java as it is what I use at work.
You can easily extract text from Word files or build a new Word file with Apache POI
As for PDF, iText or PDFBox both does a pretty nice job.
Why can't you use 3rd party software? If you could, I would recommend something like How to read PDF files using Java?.
Or, to read a .doc file: http://www.roseindia.net/tutorial/java/poi/readDocFile.html
Anyway, if you can't use 3rd party tools, why not read the specifications and figure out how to extract the text from PDF, DOC, and DOCX files?
Here you can find DOC specifications: http://msdn.microsoft.com/en-us/library/cc313118.aspx
Here you can find the PDF format specification: http://www.adobe.com/devnet/pdf/pdf_reference.html
Good luck!
Note: I realize this question has already been asked (with a ruby slant) here: Creating on-demand, print-quality PDFs (preferably in Ruby if feasible). BUT there was no decent answer IMHO.
So as you may have guessed, I am looking to find the best approach to producing HIGH QUALITY, print ready PDF documents programmatically. Our requirements need us to be able to have design documents that define place holders for dynamic content like images and text i.e. some kind of template mechanism.
The suggestion has been to use Adobe's InDesign server, but this seems like an expensive solution not to mention a little overkill for our need.
Are there any alternative, cheaper and more fitting solutions out there? The language of the solution doesn't really matter, just as long as it can be executes on a Windows box.
My suggestion would be to look at XSL-FO or thereabouts...
You create an XML doc that describes what you want and there are various libraries and toolkits (I've used XEP from RenderX) that will convert said XML into PDF.
In real terms what we did was take a large lump of data in XML format, use XSLT - templates in effect - to convert the data to formating objects which XEP renders up into something (a 500 page hotel directory with auto-generated TOC and Index) that has been consumed quite happily by at least three different commercial printers. We did some other smaller documents too from time to time.
Downside with this is that its not even remotely a WYSIWYG solution - you're effectively compiling "source code" to get PDF out the back. Upside is that the base technologies are reasonably generic even if the specific toolkits may be a bit less so.
You can convert XML templates to PDFs with Prince.
Prince is a computer program that
converts XML and HTML into PDF
documents. Prince can read many XML
formats, including XHTML and SVG.
Prince formats documents according to
style sheets written in CSS.
I have and also know many people that have had much success with ReportLab an open source Python PDF library (http://www.reportlab.org/rl_toolkit.html).
Its extremely easy to use and very quick to get started. So worth trying out.
I don't know why no one has suggested using LaTeX for this. It's an extremely popular open format for document design and not hard to set up a template that you can fill in text or image content. While the reference implementation of LaTeX runs as a standalone program, if that sounds like too many moving parts for you there are wrapper libraries for Python and other languages you can call via an API.
Java language and JasperReports
Java: iText
C#: iTextSharp
depends on what you want to publish, but take a look at Pentaho reporting
http://reporting.pentaho.org/
rinohtype is an open-source document processor that is capable of producing high-quality print-ready PDF documents. You can use one of the built-in document templates (book, article) or define your own template. The look of document elements can be configured by means of CSS-like style sheets. The contents of your document can be parsed from reStructuredText or CommonMark files, or you can build the document tree programmatically.
Full disclosure: I am the author of rinohtype.